| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.tr.vtt |
81 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.hr.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.zh-CN.vtt |
83 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.zh-CN.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.zh-Hans.vtt |
85 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.hr.vtt |
85 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.hr.vtt |
85 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.en.vtt |
86 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.hr.vtt |
86 B |
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86 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.en.vtt |
86 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.en.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.en.vtt |
86 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.it.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.hr.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.zh-CN.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.ja.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.ja.vtt |
88 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.it.vtt |
88 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.en.vtt |
88 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.en.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.it.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.pt-PT.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.it.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.pt-BR.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.ja.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.it.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.zh-CN.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.ja.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.pt-BR.vtt |
89 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.pt-BR.vtt |
90 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.ar.vtt |
90 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.zh-CN.vtt |
90 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.en.vtt |
90 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.en.vtt |
90 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.it.vtt |
90 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.zh-CN.vtt |
90 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.ja.vtt |
91 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.pt-BR.vtt |
91 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-kNxZwfXwvuk.en.vtt |
92 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.ar.vtt |
92 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.pt-BR.vtt |
92 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.ar.vtt |
93 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.it.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.ar.vtt |
94 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.ja.vtt |
94 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.zh-CN.vtt |
94 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt |
94 B |
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95 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.ar.vtt |
95 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.es-ES.vtt |
95 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.en.vtt |
95 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.en.vtt |
95 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.ar.vtt |
96 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.it.vtt |
96 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.ja.vtt |
97 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.en.vtt |
97 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-kNxZwfXwvuk.pt-BR.vtt |
97 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.ar.vtt |
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98 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt |
98 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.zh-CN.vtt |
99 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-JX3NN5zwL08.ar.vtt |
99 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.pt-BR.vtt |
99 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.ar.vtt |
99 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.pt-BR.vtt |
100 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.ja.vtt |
100 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.en.vtt |
101 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.pt-BR.vtt |
101 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.zh-CN.vtt |
101 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.es-ES.vtt |
101 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.zh-Hans.vtt |
101 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.en.vtt |
103 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.ja.vtt |
104 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-p5p3OLARpmA.en.vtt |
104 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.en.vtt |
104 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.es-ES.vtt |
104 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-p5p3OLARpmA.pt-BR.vtt |
105 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt |
106 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-rnaZpqIqA2g.ja.vtt |
106 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.es-ES.vtt |
107 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.ja.vtt |
107 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-p5p3OLARpmA.zh-CN.vtt |
107 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.en.vtt |
107 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.pt-BR.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.zh-CN.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-frzL4n6Y-vU.en.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.en.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.ar.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.th.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.pt-BR.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt |
108 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.es-ES.vtt |
109 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.en.vtt |
109 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.es-ES.vtt |
109 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.en.vtt |
109 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.pt-BR.vtt |
109 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt |
110 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.ar.vtt |
110 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.ar.vtt |
110 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.en.vtt |
110 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.ja.vtt |
110 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-L4elyDe8pFk.pt-BR.vtt |
110 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-frzL4n6Y-vU.pt-BR.vtt |
111 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.zh-CN.vtt |
111 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.zh-CN.vtt |
113 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.zh-CN.vtt |
113 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.zh-CN.vtt |
113 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.ja.vtt |
113 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.zh-CN.vtt |
115 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.ja.vtt |
116 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.zh-CN.vtt |
116 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.zh-CN.vtt |
117 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.en.vtt |
118 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.ja.vtt |
118 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt |
118 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-p5p3OLARpmA.ar.vtt |
118 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.es-ES.vtt |
118 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt |
118 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-frzL4n6Y-vU.ja.vtt |
119 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.zh-Hans.vtt |
119 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.en.vtt |
119 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.en.vtt |
120 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.es-ES.vtt |
120 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-FlbDcNPGgUE.pt-BR.vtt |
121 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-kNxZwfXwvuk.ar.vtt |
121 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.pt-BR.vtt |
122 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.ar.vtt |
122 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-F-xSYJ3y_pA.pt-BR.vtt |
122 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.en.vtt |
122 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.ja.vtt |
122 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-FZVBF1HR4U0.ar.vtt |
122 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt |
123 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.ja.vtt |
123 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.zh-CN.vtt |
123 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-frzL4n6Y-vU.ar.vtt |
123 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt |
123 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.pt-BR.vtt |
123 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.pt-BR.vtt |
124 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.es-ES.vtt |
125 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.zh-CN.vtt |
125 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-sMLnEgg2lqE.zh-CN.vtt |
125 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality--dcNhrSPmoY.zh-CN.vtt |
125 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.pt-BR.vtt |
125 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.es-ES.vtt |
125 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-FlbDcNPGgUE.zh-CN.vtt |
126 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.ja.vtt |
126 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.zh-CN.vtt |
126 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.ar.vtt |
126 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.ar.vtt |
126 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.it.vtt |
127 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.zh-CN.vtt |
127 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/08. Speed Scatterplot Grade and Bumpiness-v2UbL0SOm9A.en.vtt |
128 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.en.vtt |
128 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.it.vtt |
129 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.en.vtt |
129 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.ar.vtt |
129 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.es-ES.vtt |
129 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.zh-CN.vtt |
129 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/08. Speed Scatterplot Grade and Bumpiness-v2UbL0SOm9A.pt-BR.vtt |
130 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.es-ES.vtt |
130 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-dk3FxGVdP7Q.en.vtt |
130 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.en.vtt |
130 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.th.vtt |
130 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-sMLnEgg2lqE.en.vtt |
130 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-FlbDcNPGgUE.ja.vtt |
131 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-F-xSYJ3y_pA.ja.vtt |
131 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-F-xSYJ3y_pA.en.vtt |
131 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.ja.vtt |
132 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.ar.vtt |
132 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-dyShKWpTo-c.pt-BR.vtt |
133 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-dyShKWpTo-c.pt-BR.vtt |
133 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-dk3FxGVdP7Q.pt-BR.vtt |
134 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.ja.vtt |
134 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.th.vtt |
135 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.en.vtt |
136 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.zh-CN.vtt |
136 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/08. Speed Scatterplot Grade and Bumpiness-v2UbL0SOm9A.ar.vtt |
136 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.ja.vtt |
137 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-dyShKWpTo-c.en.vtt |
137 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.th.vtt |
137 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-dyShKWpTo-c.en.vtt |
137 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.es-ES.vtt |
138 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.en.vtt |
138 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.it.vtt |
138 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.ja.vtt |
138 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality--dcNhrSPmoY.en.vtt |
138 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/11. Practice Finding New Axes-th34aboBOO0.en.vtt |
139 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.ja.vtt |
139 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.es-ES.vtt |
140 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-Thj7e55iSlA.en.vtt |
140 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.en.vtt |
140 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.ar.vtt |
140 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.es-ES.vtt |
141 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.ar.vtt |
141 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.es-ES.vtt |
141 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.ja.vtt |
141 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/11. Practice Finding New Axes-th34aboBOO0.pt-BR.vtt |
141 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron--dT9dztM-Lc.en.vtt |
141 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.ja.vtt |
141 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.zh-CN.vtt |
142 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-jO81hfubpXY.en.vtt |
142 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.es-ES.vtt |
142 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.en.vtt |
142 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.ja.vtt |
142 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-T2dveKB64Ho.zh-CN.vtt |
142 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-jO81hfubpXY.en.vtt |
142 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-Thj7e55iSlA.pt-BR.vtt |
143 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-FlbDcNPGgUE.en.vtt |
143 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.es-ES.vtt |
143 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.hr.vtt |
144 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.ar.vtt |
144 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt |
146 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.en.vtt |
146 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.en.vtt |
147 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.en.vtt |
148 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.pt-BR.vtt |
149 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.zh-CN.vtt |
149 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt |
149 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/08. Speed Scatterplot Grade and Bumpiness-v2UbL0SOm9A.ja.vtt |
149 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.hr.vtt |
149 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.ja.vtt |
149 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.pt-BR.vtt |
149 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-jO81hfubpXY.zh-CN.vtt |
150 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-jO81hfubpXY.zh-CN.vtt |
150 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.zh-CN.vtt |
150 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.it.vtt |
151 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-3tzTP3e0Cjw.ja.vtt |
152 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt |
152 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-3tzTP3e0Cjw.zh-CN.vtt |
152 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.en.vtt |
152 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.ar.vtt |
152 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.th.vtt |
152 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-3tzTP3e0Cjw.en.vtt |
153 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.ar.vtt |
153 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.zh-CN.vtt |
153 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.ja.vtt |
154 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.es-ES.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.en.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.en.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-jO81hfubpXY.pt-BR.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-jO81hfubpXY.pt-BR.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.hr.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.zh-CN.vtt |
155 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.ja.vtt |
156 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces-jkjr_prWyt8.zh-CN.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-F-xSYJ3y_pA.ar.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.ja.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-ZSkYbBsFuOQ.zh-CN.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.zh-CN.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.hr.vtt |
157 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt |
158 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt |
158 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.pt-BR.vtt |
158 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.ar.vtt |
158 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-sMLnEgg2lqE.pt-BR.vtt |
159 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.ja.vtt |
159 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-3tzTP3e0Cjw.pt-BR.vtt |
159 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.pt-BR.vtt |
160 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-ZSkYbBsFuOQ.pt-BR.vtt |
160 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-Nn_8kCRYn2k.zh-CN.vtt |
160 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.es-ES.vtt |
160 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.th.vtt |
160 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.zh-CN.vtt |
160 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-0bEbJ33dUis.en.vtt |
161 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.ar.vtt |
161 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.en.vtt |
161 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.pt-BR.vtt |
162 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.ar.vtt |
163 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-ppSLADGROp8.en.vtt |
163 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt |
163 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.hr.vtt |
163 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.th.vtt |
164 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-OdsfV143AMc.en.vtt |
164 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.pt-BR.vtt |
164 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.it.vtt |
164 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt |
164 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron--dT9dztM-Lc.pt-BR.vtt |
164 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt |
164 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/02. Separating Line-NTm_mA4akP4.ja.vtt |
165 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt |
165 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.en.vtt |
165 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-ppSLADGROp8.pt-BR.vtt |
165 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.zh-CN.vtt |
165 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.zh-CN.vtt |
166 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.ar.vtt |
166 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-wzNCL-MJ2bc.zh-CN.vtt |
166 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-ppSLADGROp8.zh-CN.vtt |
166 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.es-ES.vtt |
166 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-OdsfV143AMc.zh-CN.vtt |
166 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.pt-BR.vtt |
167 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-ZSkYbBsFuOQ.en.vtt |
167 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-8TeKzSUGAJQ.en.vtt |
167 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-T2dveKB64Ho.pt-BR.vtt |
167 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.ar.vtt |
167 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.en.vtt |
167 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-qPr3Uj55eog.zh-CN.vtt |
167 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.pt-BR.vtt |
168 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality--dcNhrSPmoY.ar.vtt |
168 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.pt-BR.vtt |
169 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-8TeKzSUGAJQ.zh-CN.vtt |
169 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.pt-BR.vtt |
169 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.en.vtt |
169 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.es-ES.vtt |
170 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.pt-BR.vtt |
170 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces-jkjr_prWyt8.pt-BR.vtt |
170 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.pt-BR.vtt |
170 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.it.vtt |
171 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality--dcNhrSPmoY.pt-BR.vtt |
171 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron--dT9dztM-Lc.ar.vtt |
171 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.pt-BR.vtt |
171 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.it.vtt |
171 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-i6aCKjMeZPk.zh-CN.vtt |
172 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.pt-BR.vtt |
173 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.pt-BR.vtt |
173 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.pt-BR.vtt |
173 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-0bEbJ33dUis.pt-BR.vtt |
173 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.it.vtt |
173 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.es-ES.vtt |
174 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.es-ES.vtt |
174 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces-jkjr_prWyt8.en.vtt |
174 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.en.vtt |
174 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.it.vtt |
174 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.ja.vtt |
175 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.ar.vtt |
175 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-T4GbEVybNlY.zh-CN.vtt |
176 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.ar.vtt |
176 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-dk3FxGVdP7Q.ar.vtt |
176 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.ja.vtt |
176 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/15. A New Feature-8TqVHRan4Fo.pt-BR.vtt |
177 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.zh-CN.vtt |
177 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-Nn_8kCRYn2k.pt-BR.vtt |
177 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-jTKkq6DdJMw.zh-CN.vtt |
177 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-wzNCL-MJ2bc.pt-BR.vtt |
177 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.pt-BR.vtt |
177 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.th.vtt |
177 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.en.vtt |
178 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-T2dveKB64Ho.en.vtt |
178 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.it.vtt |
178 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.th.vtt |
178 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.ja.vtt |
180 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.en.vtt |
180 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.zh-CN.vtt |
180 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-OdsfV143AMc.pt-BR.vtt |
180 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.zh-CN.vtt |
180 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.zh-CN.vtt |
180 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-ppSLADGROp8.ja.vtt |
181 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-wzNCL-MJ2bc.en.vtt |
181 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-i6aCKjMeZPk.pt-BR.vtt |
181 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-Nn_8kCRYn2k.en.vtt |
182 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.zh-CN.vtt |
182 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.en.vtt |
182 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-FBRK-XwPC54.zh-CN.vtt |
182 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-RF9V7l00a28.zh-CN.vtt |
183 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.pt-BR.vtt |
183 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-3tzTP3e0Cjw.ar.vtt |
184 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.pt-BR.vtt |
184 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-i6aCKjMeZPk.en.vtt |
184 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.ar.vtt |
184 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.ja.vtt |
184 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/02. Separating Line-NTm_mA4akP4.pt-BR.vtt |
185 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.es-ES.vtt |
185 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-GtiLFC7EgFE.zh-CN.vtt |
185 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/15. A New Feature-8TqVHRan4Fo.en.vtt |
185 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.en.vtt |
186 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.pt-BR.vtt |
186 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.pt-BR.vtt |
186 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.en.vtt |
186 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.zh-CN.vtt |
186 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-0bEbJ33dUis.zh-CN.vtt |
187 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.ja.vtt |
187 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-ZSkYbBsFuOQ.ar.vtt |
187 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-i6aCKjMeZPk.ja.vtt |
187 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.it.vtt |
187 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-FlbDcNPGgUE.ar.vtt |
187 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.zh-CN.vtt |
187 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-UnkrtPPx9-c.zh-CN.vtt |
188 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.pt-BR.vtt |
188 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.pt-BR.vtt |
188 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-i6aCKjMeZPk.ar.vtt |
188 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-T4GbEVybNlY.pt-BR.vtt |
188 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/15. A New Feature-8TqVHRan4Fo.zh-CN.vtt |
189 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.zh-Hans.vtt |
189 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-8TeKzSUGAJQ.pt-BR.vtt |
189 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/15. A New Feature-8TqVHRan4Fo.ja.vtt |
190 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.en.vtt |
190 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.ar.vtt |
190 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.ja.vtt |
190 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-WmnGwUCW-Yc.zh-CN.vtt |
190 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.ar.vtt |
191 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/02. Separating Line-NTm_mA4akP4.zh-CN.vtt |
191 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-PaE5caOJ5kg.zh-CN.vtt |
191 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.es-ES.vtt |
192 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.zh-CN.vtt |
192 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-T4GbEVybNlY.en.vtt |
193 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-PaE5caOJ5kg.ja.vtt |
193 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-GtiLFC7EgFE.en.vtt |
194 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.ja.vtt |
194 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.ja.vtt |
194 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/05. Types of Data Quiz 1-j1vFBL3khh0.zh-CN.vtt |
194 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces-jkjr_prWyt8.ar.vtt |
196 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.en.vtt |
196 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.ar.vtt |
196 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.zh-CN.vtt |
196 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-yWPbe8onCeA.ja.vtt |
196 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-yWPbe8onCeA.pt-BR.vtt |
196 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.hr.vtt |
197 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.zh-CN.vtt |
197 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.ja.vtt |
197 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.zh-CN.vtt |
198 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.ja.vtt |
198 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.en.vtt |
198 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-PDqyWzZCVBY.en.vtt |
199 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.ja.vtt |
199 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-GtiLFC7EgFE.pt-BR.vtt |
199 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-ZSkYbBsFuOQ.ja.vtt |
199 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.ja.vtt |
200 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/02. Linearly Separable Data-YNfxSsQT78Y.zh-CN.vtt |
200 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-PaE5caOJ5kg.pt-BR.vtt |
201 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.pt-BR.vtt |
201 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price-MZyle39D5Ks.zh-CN.vtt |
201 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/02. Linearly Separable Data-YNfxSsQT78Y.en.vtt |
201 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-jTKkq6DdJMw.en.vtt |
201 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.ja.vtt |
201 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.pt-BR.vtt |
202 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.ja.vtt |
202 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.ar.vtt |
202 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/18. Bush Precision and Recall-8fM13xqU2a8.pt-BR.vtt |
203 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/11. Practice Finding New Axes-th34aboBOO0.ar.vtt |
203 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.pt-BR.vtt |
203 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/02. Separating Line-NTm_mA4akP4.en.vtt |
203 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-j0uDMc3Yrlo.en.vtt |
203 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/08. Handoff to Katie-knrPsGtpyQY.pt-BR.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-yWPbe8onCeA.zh-CN.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/18. Bush Precision and Recall-8fM13xqU2a8.zh-CN.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/04. Sarah's Height + Weight-OdsfV143AMc.ar.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.th.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.ar.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.hr.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.zh-CN.vtt |
204 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-WmnGwUCW-Yc.ja.vtt |
205 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.it.vtt |
205 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-qPr3Uj55eog.en.vtt |
205 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.th.vtt |
205 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete-4yapJV56YoM.pt-BR.vtt |
205 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/02. Linearly Separable Data-YNfxSsQT78Y.ja.vtt |
205 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-jTKkq6DdJMw.pt-BR.vtt |
206 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-W96zaGEma7o.zh-CN.vtt |
206 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/08. Handoff to Katie-knrPsGtpyQY.zh-CN.vtt |
206 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/17. Assess Tidiness-LSdhieL7nXU.en.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-UnkrtPPx9-c.en.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.zh-CN.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete-4yapJV56YoM.en.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.ar.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-PDqyWzZCVBY.pt-BR.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-SuGzxfoye9s.zh-CN.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-j0uDMc3Yrlo.zh-CN.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/08. Handoff to Katie-knrPsGtpyQY.en.vtt |
207 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-IC-fo_A0PxQ.zh-CN.vtt |
208 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.en.vtt |
208 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.ar.vtt |
208 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/17. Assess Tidiness-LSdhieL7nXU.zh-CN.vtt |
209 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.hr.vtt |
209 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.pt-BR.vtt |
209 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-ppSLADGROp8.ar.vtt |
210 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.it.vtt |
210 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.es-ES.vtt |
210 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-WmnGwUCW-Yc.en.vtt |
210 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.en.vtt |
210 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.zh-CN.vtt |
210 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.ar.vtt |
211 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-T4GbEVybNlY.ja.vtt |
211 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete-4yapJV56YoM.zh-CN.vtt |
211 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price--9CHGW25yMg.zh-CN.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.ja.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.zh-CN.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/08. Demystifying R-Or9KvEd1flY.zh-CN.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.it.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.pt-BR.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-PaE5caOJ5kg.en.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.zh-CN.vtt |
212 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.en.vtt |
213 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/18. Bush Precision and Recall-8fM13xqU2a8.en.vtt |
213 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ow70HVqX4OY.zh-CN.vtt |
213 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.hr.vtt |
213 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.it.vtt |
213 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.en.vtt |
214 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron-MetxO9LDp-I.en.vtt |
214 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price-MZyle39D5Ks.en.vtt |
214 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.en.vtt |
214 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.zh-CN.vtt |
214 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.en.vtt |
214 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.zh-CN.vtt |
215 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-j0uDMc3Yrlo.pt-BR.vtt |
215 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.pt-PT.vtt |
215 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ow70HVqX4OY.en.vtt |
216 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.hr.vtt |
216 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.pt-BR.vtt |
216 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.ja.vtt |
216 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.en.vtt |
216 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.zh-CN.vtt |
216 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.es-ES.vtt |
217 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/02. Linearly Separable Data-YNfxSsQT78Y.pt-BR.vtt |
217 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.ja.vtt |
217 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.en.vtt |
217 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.zh-CN.vtt |
218 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-0bEbJ33dUis.ar.vtt |
218 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-Nn_8kCRYn2k.ar.vtt |
218 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.ar.vtt |
218 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.ar.vtt |
218 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.pt-BR.vtt |
218 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-yWPbe8onCeA.en.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.en.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.en.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-FBRK-XwPC54.pt-BR.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-ijy0n1EjY0M.en.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-ijy0n1EjY0M.zh-CN.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.pt-BR.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-UnkrtPPx9-c.pt-BR.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.ja.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.es-ES.vtt |
219 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-T-dTpFd7EO0.zh-CN.vtt |
220 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-W96zaGEma7o.en.vtt |
220 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price--9CHGW25yMg.en.vtt |
220 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/02. Bag Of Words-QfIgUDXPhi8.en.vtt |
220 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-PDqyWzZCVBY.ja.vtt |
220 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price--9CHGW25yMg.pt-BR.vtt |
221 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-RF9V7l00a28.en.vtt |
221 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-nNna_SLlIT8.en.vtt |
221 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.es-ES.vtt |
221 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.ar.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/02. Bag Of Words-QfIgUDXPhi8.pt-BR.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.ar.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.ar.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-FBRK-XwPC54.en.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.en.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-PDqyWzZCVBY.zh-CN.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron-MetxO9LDp-I.zh-CN.vtt |
222 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.pt-BR.vtt |
223 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.pt-BR.vtt |
223 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/08. Demystifying R-Or9KvEd1flY.pt-BR.vtt |
224 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-SuGzxfoye9s.en.vtt |
224 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-j0uDMc3Yrlo.ja.vtt |
225 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-WmnGwUCW-Yc.pt-BR.vtt |
225 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-T4GbEVybNlY.ar.vtt |
225 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.zh-CN.vtt |
225 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/02. Bag Of Words-QfIgUDXPhi8.zh-CN.vtt |
226 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-qPr3Uj55eog.pt-BR.vtt |
226 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-SuGzxfoye9s.pt-BR.vtt |
226 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-Thj7e55iSlA.ar.vtt |
226 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.zh-CN.vtt |
226 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-GtiLFC7EgFE.ja.vtt |
226 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.es-ES.vtt |
227 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.th.vtt |
228 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.zh-CN.vtt |
228 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-oNTklG8dh-0.pt-BR.vtt |
228 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.zh-CN.vtt |
228 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.en.vtt |
229 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price-MZyle39D5Ks.pt-BR.vtt |
230 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron-MetxO9LDp-I.pt-BR.vtt |
230 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.en.vtt |
231 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.es-ES.vtt |
231 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-sMLnEgg2lqE.ar.vtt |
231 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.it.vtt |
231 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.zh-CN.vtt |
232 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/01. Data Dimensionality-bAZJT4xHiXM.zh-CN.vtt |
232 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-T-dTpFd7EO0.pt-BR.vtt |
232 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/05. Types of Data Quiz 1-j1vFBL3khh0.en.vtt |
232 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-FBRK-XwPC54.ja.vtt |
232 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.es-ES.vtt |
233 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature-9KAHkienFWk.zh-CN.vtt |
233 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.pt-BR.vtt |
233 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.ar.vtt |
234 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.es-ES.vtt |
234 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.ar.vtt |
234 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.it.vtt |
234 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.es-ES.vtt |
234 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-oNTklG8dh-0.zh-CN.vtt |
236 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.es-ES.vtt |
236 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.ja.vtt |
236 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.ja.vtt |
237 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-ijy0n1EjY0M.pt-BR.vtt |
237 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.hr.vtt |
238 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.es-ES.vtt |
238 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/02. Separating Line-NTm_mA4akP4.ar.vtt |
238 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-T-dTpFd7EO0.en.vtt |
238 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.en.vtt |
238 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.ar.vtt |
238 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ow70HVqX4OY.pt-BR.vtt |
239 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-IC-fo_A0PxQ.en.vtt |
239 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.it.vtt |
239 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.es-ES.vtt |
239 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.th.vtt |
240 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.th.vtt |
240 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.pt-BR.vtt |
240 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.it.vtt |
240 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-k63Why0c1KU.pt-BR.vtt |
240 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.en.vtt |
240 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-wzNCL-MJ2bc.ar.vtt |
241 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.ja.vtt |
241 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.zh-CN.vtt |
241 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-TWGqylKdGWs.zh-CN.vtt |
241 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.zh-CN.vtt |
241 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.en.vtt |
241 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.es-ES.vtt |
242 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.es-ES.vtt |
243 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.ja.vtt |
243 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-oOUx6NHppdQ.zh-CN.vtt |
243 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/08. Demystifying R-Or9KvEd1flY.ja.vtt |
243 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.zh-CN.vtt |
244 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/02. Linearly Separable Data-YNfxSsQT78Y.ar.vtt |
244 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.en.vtt |
244 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-s_-I8mbrfw0.zh-CN.vtt |
244 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.th.vtt |
244 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-1ask5zHGQKM.zh-CN.vtt |
245 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.en.vtt |
245 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-yB866_TLZB8.en.vtt |
246 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.en.vtt |
246 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-SuGzxfoye9s.ja.vtt |
246 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.pt-BR.vtt |
246 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-oNTklG8dh-0.en.vtt |
247 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.ja.vtt |
247 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-IC-fo_A0PxQ.pt-BR.vtt |
247 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.ja.vtt |
247 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.en.vtt |
247 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.ar.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.zh-CN.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/04. Price and Carat Relationship-gG4xwgj1yVA.zh-CN.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.en.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.it.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-yB866_TLZB8.pt-BR.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-nNna_SLlIT8.pt-BR.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.ja.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-T2dveKB64Ho.ar.vtt |
248 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.pt-BR.vtt |
249 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.pt-BR.vtt |
249 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.pt-BR.vtt |
249 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.pt-BR.vtt |
249 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-RF9V7l00a28.pt-BR.vtt |
249 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/34. Bayesian Probabilities On Your Own-2StCBxTOoK0.zh-CN.vtt |
249 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.ar.vtt |
250 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.zh-CN.vtt |
250 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/07. Types of Data Quiz 3-8TeKzSUGAJQ.ar.vtt |
250 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-W96zaGEma7o.pt-BR.vtt |
250 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-s_-I8mbrfw0.en.vtt |
250 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-UnkrtPPx9-c.ja.vtt |
251 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.es-ES.vtt |
251 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price-MZyle39D5Ks.ja.vtt |
251 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-jTKkq6DdJMw.ar.vtt |
251 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-r8stm2et_hI.zh-CN.vtt |
251 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.zh-CN.vtt |
251 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.en.vtt |
252 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.es-ES.vtt |
252 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.hr.vtt |
252 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.ar.vtt |
252 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/08. Demystifying R-Or9KvEd1flY.en.vtt |
252 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-TWGqylKdGWs.en.vtt |
252 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.th.vtt |
252 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.pt-BR.vtt |
253 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-t4qaavAslSw.zh-CN.vtt |
253 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature-9KAHkienFWk.en.vtt |
254 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.ja.vtt |
254 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.ar.vtt |
254 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.pt-BR.vtt |
254 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-W96zaGEma7o.ja.vtt |
254 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-k63Why0c1KU.zh-CN.vtt |
255 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-4YP0K-5c310.pt-BR.vtt |
255 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-DzyOcsBIncA.zh-CN.vtt |
255 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/04. Price and Carat Relationship-gG4xwgj1yVA.ja.vtt |
255 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.zh-CN.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/12. Decision Tree Accuracy-1z5mVNdF1KA.pt-BR.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/07. Constructing A Decision TreeThird Split-RxySNoOmXnc.ja.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/05. Practice with Margins-l3zXhTxQiTs.zh-CN.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-ijy0n1EjY0M.ja.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-PaE5caOJ5kg.ar.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.en.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-k63Why0c1KU.en.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-obhHCeHpysw.zh-CN.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.en.vtt |
256 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.es-ES.vtt |
257 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.zh-CN.vtt |
257 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/08. Handoff to Katie-knrPsGtpyQY.ar.vtt |
258 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.es-ES.vtt |
258 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-c7UjSq7Fmr8.zh-CN.vtt |
259 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.en.vtt |
260 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/07. Constructing A Decision TreeThird Split-RxySNoOmXnc.zh-CN.vtt |
260 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.es-ES.vtt |
260 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.pt-BR.vtt |
260 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.ja.vtt |
260 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-bhwb2v9rEdI.en.vtt |
260 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.ja.vtt |
261 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-s_-I8mbrfw0.pt-BR.vtt |
261 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-bhwb2v9rEdI.ja.vtt |
261 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature-9KAHkienFWk.pt-BR.vtt |
261 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price--9CHGW25yMg.ar.vtt |
262 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.ja.vtt |
262 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.pt-BR.vtt |
262 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-t4qaavAslSw.en.vtt |
262 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/07. Constructing A Decision TreeThird Split-RxySNoOmXnc.en.vtt |
263 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-4YP0K-5c310.en.vtt |
263 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-SuGzxfoye9s.ar.vtt |
263 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split-A7KKnDmZBA0.zh-CN.vtt |
263 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/13. Weighting by Term Frequency-pt_S3HwE5GY.zh-CN.vtt |
263 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price--9CHGW25yMg.ja.vtt |
263 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-4YP0K-5c310.zh-CN.vtt |
264 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-TWGqylKdGWs.pt-BR.vtt |
264 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.pt-BR.vtt |
264 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.ja.vtt |
264 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-bhwb2v9rEdI.zh-CN.vtt |
264 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-tkllhaHoko8.en.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.ar.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/15. A New Feature-8TqVHRan4Fo.ar.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.ar.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.pt-BR.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-WmnGwUCW-Yc.ar.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/18. Bush Precision and Recall-8fM13xqU2a8.ar.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.ar.vtt |
265 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-nNna_SLlIT8.zh-CN.vtt |
266 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/17. Assess Tidiness-LSdhieL7nXU.ar.vtt |
266 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/07. Constructing A Decision TreeThird Split-RxySNoOmXnc.pt-BR.vtt |
266 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.th.vtt |
267 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.en.vtt |
268 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.zh-CN.vtt |
268 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.pt-BR.vtt |
269 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-t4qaavAslSw.pt-BR.vtt |
270 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-yB866_TLZB8.zh-CN.vtt |
271 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/17. Entropy Calculation Part 2-GtiLFC7EgFE.ar.vtt |
271 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-1ask5zHGQKM.pt-BR.vtt |
271 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.es-ES.vtt |
272 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-bhwb2v9rEdI.pt-BR.vtt |
272 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/05. Types of Data Quiz 1-j1vFBL3khh0.pt-BR.vtt |
272 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/01. Data Dimensionality-bAZJT4xHiXM.en.vtt |
273 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-V0FNwMKhIVM.pt-BR.vtt |
273 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/17. Assess Tidiness-LSdhieL7nXU.pt-BR.vtt |
273 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/05. Practice with Margins-l3zXhTxQiTs.en.vtt |
273 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price-MZyle39D5Ks.ar.vtt |
273 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/04. Price and Carat Relationship-gG4xwgj1yVA.pt-BR.vtt |
274 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ow70HVqX4OY.ar.vtt |
274 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.zh-CN.vtt |
275 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-c7UjSq7Fmr8.pt-BR.vtt |
276 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.pt-BR.vtt |
276 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/11. Quality Visual Assessment 2 -dRbjnKOnd0Y.zh-CN.vtt |
277 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-r8stm2et_hI.en.vtt |
277 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-QsncWsyboFk.zh-CN.vtt |
277 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.zh-CN.vtt |
277 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-oNTklG8dh-0.ja.vtt |
277 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-nvLhUSSUhiY.zh-CN.vtt |
277 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.en.vtt |
277 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/25. Information Gain Calculation Part 4-j0uDMc3Yrlo.ar.vtt |
278 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.ar.vtt |
278 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature-9KAHkienFWk.ja.vtt |
279 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.en.vtt |
279 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.ar.vtt |
279 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/04. Mr. Day Loves a Nice Day-uETh8McUAfY.pt-BR.vtt |
279 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.zh-CN.vtt |
280 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.en.vtt |
281 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-s_-I8mbrfw0.ja.vtt |
281 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-r8stm2et_hI.pt-BR.vtt |
281 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.es-ES.vtt |
281 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-RF9V7l00a28.ar.vtt |
281 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-UnkrtPPx9-c.ar.vtt |
281 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.pt-BR.vtt |
281 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.zh-CN.vtt |
282 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/04. Mr. Day Loves a Nice Day-uETh8McUAfY.en.vtt |
282 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/04. Price and Carat Relationship-gG4xwgj1yVA.en.vtt |
282 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete-4yapJV56YoM.ar.vtt |
282 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron-MetxO9LDp-I.ar.vtt |
282 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/09. Handoff to Katie-GkqOdgZnkig.zh-CN.vtt |
282 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-yWPbe8onCeA.ar.vtt |
283 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.zh-CN.vtt |
283 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.ar.vtt |
283 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/05. Confusion Matrices-bEAaNv-CBQ4.zh-CN.vtt |
283 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-nNna_SLlIT8.ja.vtt |
283 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.pt-BR.vtt |
284 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.ar.vtt |
284 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-RF9V7l00a28.ja.vtt |
285 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split-A7KKnDmZBA0.en.vtt |
285 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-tkllhaHoko8.zh-CN.vtt |
285 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.pt-BR.vtt |
285 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-PDqyWzZCVBY.ar.vtt |
285 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/09. Handoff to Katie-GkqOdgZnkig.en.vtt |
285 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/04. Mr. Day Loves a Nice Day-uETh8McUAfY.zh-CN.vtt |
286 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/12. Decision Tree Accuracy-1z5mVNdF1KA.en.vtt |
286 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.ar.vtt |
286 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/34. Bayesian Probabilities On Your Own-2StCBxTOoK0.en.vtt |
287 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/12. Decision Tree Accuracy-1z5mVNdF1KA.zh-CN.vtt |
287 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-3RuKO3PQWg0.zh-CN.vtt |
287 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.zh-CN.vtt |
288 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-2cUiqlbt-hc.zh-CN.vtt |
288 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.hr.vtt |
289 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-c7UjSq7Fmr8.en.vtt |
289 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.it.vtt |
289 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.pt-BR.vtt |
289 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-DzyOcsBIncA.en.vtt |
290 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-V0FNwMKhIVM.en.vtt |
290 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-xPDk70gKkjk.zh-CN.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.it.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.pt-BR.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.zh-CN.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.hr.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-yB866_TLZB8.ar.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ow70HVqX4OY.ja.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.zh-CN.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-tkllhaHoko8.pt-BR.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-wnIQ6fCVD40.zh-CN.vtt |
291 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.en.vtt |
292 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-vG3ahYyLHlQ.zh-CN.vtt |
292 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-obhHCeHpysw.en.vtt |
292 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-QsncWsyboFk.pt-BR.vtt |
292 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-QsncWsyboFk.en.vtt |
292 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.zh-CN.vtt |
293 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.pt-BR.vtt |
293 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split-A7KKnDmZBA0.pt-BR.vtt |
293 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.ja.vtt |
293 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-CMIM_Ocu8vg.zh-CN.vtt |
294 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.zh-CN.vtt |
294 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-aMOZWZO5hZ8.zh-CN.vtt |
295 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.ja.vtt |
296 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-vG3ahYyLHlQ.en.vtt |
296 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-vG3ahYyLHlQ.ja.vtt |
296 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.zh-CN.vtt |
296 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-c7UjSq7Fmr8.ja.vtt |
297 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-t4qaavAslSw.ja.vtt |
297 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/05. Practice with Margins-l3zXhTxQiTs.ja.vtt |
297 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/05. Practice with Margins-l3zXhTxQiTs.pt-BR.vtt |
297 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.zh-CN.vtt |
297 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/02. Bag Of Words-QfIgUDXPhi8.ar.vtt |
298 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.ja.vtt |
298 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-1ask5zHGQKM.en.vtt |
298 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.zh-CN.vtt |
298 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/28. Normalizing 3-FBRK-XwPC54.ar.vtt |
299 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-DzyOcsBIncA.pt-BR.vtt |
299 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.th.vtt |
299 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/18. Maximal Variance-FpQm_dYA9LM.zh-CN.vtt |
299 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.ja.vtt |
300 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.ja.vtt |
300 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.ja.vtt |
301 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-qPr3Uj55eog.ar.vtt |
301 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.ja.vtt |
301 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.es-ES.vtt |
301 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.en.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/05. Confusion Matrices-bEAaNv-CBQ4.en.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-nNna_SLlIT8.ar.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.zh-CN.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.ja.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/01. Data Dimensionality-bAZJT4xHiXM.pt-BR.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.ar.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/05. Types of Data Quiz 1-j1vFBL3khh0.ar.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.ar.vtt |
302 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.ar.vtt |
303 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.zh-CN.vtt |
303 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.zh-CN.vtt |
303 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/08. Stopwords-2FQu07aKLwg.zh-CN.vtt |
303 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.ar.vtt |
303 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.ja.vtt |
304 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.zh-CN.vtt |
304 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-IC-fo_A0PxQ.ar.vtt |
304 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.ja.vtt |
304 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-AjI84ujXBHk.pt-BR.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.th.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-2cUiqlbt-hc.pt-BR.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.pt-BR.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/05. Trickiest Data Dimensionality-vIxDt0bNV9g.zh-CN.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.hr.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.ja.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.zh-CN.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.ja.vtt |
305 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-2cUiqlbt-hc.en.vtt |
306 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-nvLhUSSUhiY.pt-BR.vtt |
306 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.ar.vtt |
306 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-g88Q5qyiZxE.zh-CN.vtt |
306 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.en.vtt |
306 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.it.vtt |
307 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/09. Handoff to Katie-GkqOdgZnkig.pt-BR.vtt |
307 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.pt-BR.vtt |
307 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.en.vtt |
307 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-obhHCeHpysw.pt-BR.vtt |
307 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.zh-CN.vtt |
307 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-W96zaGEma7o.ar.vtt |
308 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-AjI84ujXBHk.zh-CN.vtt |
308 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.it.vtt |
308 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.zh-CN.vtt |
309 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-t4qaavAslSw.ar.vtt |
309 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/05. Confusion Matrices-bEAaNv-CBQ4.pt-BR.vtt |
309 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.pt-BR.vtt |
309 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.ja.vtt |
310 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-aMOZWZO5hZ8.en.vtt |
310 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.en.vtt |
310 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.it.vtt |
311 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/34. Bayesian Probabilities On Your Own-2StCBxTOoK0.pt-BR.vtt |
311 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-sudTOiG-NJo.zh-CN.vtt |
311 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.hr.vtt |
312 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-V0FNwMKhIVM.zh-CN.vtt |
312 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-uC1Xwc7warg.en.vtt |
312 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-Bp6oBbLw8qE.zh-CN.vtt |
312 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.ar.vtt |
312 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.en.vtt |
313 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-V0FNwMKhIVM.ja.vtt |
314 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.it.vtt |
314 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.zh-CN.vtt |
314 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-tkllhaHoko8.ja.vtt |
314 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.ja.vtt |
315 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-nvLhUSSUhiY.en.vtt |
315 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.it.vtt |
315 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.ar.vtt |
315 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.zh-CN.vtt |
315 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-Bp6oBbLw8qE.en.vtt |
315 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-g5yfjKWIKN4.zh-CN.vtt |
316 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-wnIQ6fCVD40.en.vtt |
316 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split-A7KKnDmZBA0.ja.vtt |
316 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.zh-CN.vtt |
316 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.en.vtt |
317 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/08. Demystifying R-Or9KvEd1flY.ar.vtt |
317 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.pt-BR.vtt |
317 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.es-ES.vtt |
318 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-aMOZWZO5hZ8.pt-BR.vtt |
318 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.en.vtt |
318 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.hr.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-M2Sp-Y2a71c.zh-CN.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.zh-CN.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.en.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.ar.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-XN1eS7boCNg.en.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-r8stm2et_hI.ar.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.ar.vtt |
319 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/11. Quality Visual Assessment 2 -dRbjnKOnd0Y.en.vtt |
320 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-3RuKO3PQWg0.en.vtt |
320 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-oOUx6NHppdQ.en.vtt |
320 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.zh-CN.vtt |
320 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.en-US.vtt |
321 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-AjI84ujXBHk.en.vtt |
321 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.en.vtt |
322 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.ja.vtt |
323 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.zh-CN.vtt |
323 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/09. Speed Scatterplot 2-ijy0n1EjY0M.ar.vtt |
323 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-vG3ahYyLHlQ.pt-BR.vtt |
324 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.it.vtt |
324 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/05. Trickiest Data Dimensionality-vIxDt0bNV9g.en.vtt |
325 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-4YP0K-5c310.ja.vtt |
325 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.en.vtt |
325 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.zh-CN.vtt |
325 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.ar.vtt |
325 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-g5yfjKWIKN4.en.vtt |
325 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.ja.vtt |
326 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-TWGqylKdGWs.ar.vtt |
326 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-oOUx6NHppdQ.pt-BR.vtt |
326 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.ar.vtt |
326 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-uC1Xwc7warg.pt-BR.vtt |
326 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.ja.vtt |
326 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-k63Why0c1KU.ar.vtt |
327 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.ja.vtt |
327 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.es-ES.vtt |
327 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-vhDpWgdpSHg.zh-CN.vtt |
327 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/16. Handoff to Katie-M3Nwl_B_bZ8.zh-CN.vtt |
328 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-g88Q5qyiZxE.ja.vtt |
329 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.es-ES.vtt |
329 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.pt-BR.vtt |
329 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-g88Q5qyiZxE.en.vtt |
331 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-xPDk70gKkjk.pt-BR.vtt |
331 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.ja.vtt |
331 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.zh-CN.vtt |
331 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-g5yfjKWIKN4.pt-BR.vtt |
331 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/11. Overplotting Revisited-AvokBc1DoEU.zh-CN.vtt |
331 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-M2Sp-Y2a71c.en.vtt |
331 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.ja.vtt |
332 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-xPDk70gKkjk.en.vtt |
332 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price--P5lMGuVA6U.en.vtt |
332 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/21. A New Perspective-bUvlDsmmpIo.zh-CN.vtt |
332 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.pt-BR.vtt |
332 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.es-ES.vtt |
332 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-uC1Xwc7warg.zh-CN.vtt |
332 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-QWWq77k-K_0.zh-CN.vtt |
333 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.es-ES.vtt |
333 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.zh-CN.vtt |
333 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.ar.vtt |
334 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.ja.vtt |
334 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-M2Sp-Y2a71c.pt-BR.vtt |
335 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.zh-CN.vtt |
335 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.pt-BR.vtt |
335 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.zh-CN.vtt |
335 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-XN1eS7boCNg.zh-CN.vtt |
335 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.ar.vtt |
336 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.en.vtt |
336 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/20. The Spread of Memes-B-khnSU3DfM.zh-CN.vtt |
336 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/34. Bayesian Probabilities On Your Own-2StCBxTOoK0.ja.vtt |
336 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.es-ES.vtt |
337 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-oNTklG8dh-0.ar.vtt |
337 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.pt-BR.vtt |
337 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.en.vtt |
337 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.pt-BR.vtt |
337 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-sudTOiG-NJo.en.vtt |
337 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.en.vtt |
337 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.it.vtt |
338 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/20. The Spread of Memes-B-khnSU3DfM.ja.vtt |
339 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.th.vtt |
339 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.ar.vtt |
339 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.pt-BR.vtt |
339 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-aALYYSwS7MM.zh-CN.vtt |
339 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.en.vtt |
339 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/05. Frances Gerety-n9heeZ1Dw8A.en.vtt |
339 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/24. Information Gain Calculation Part 3-s_-I8mbrfw0.ar.vtt |
340 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-wnIQ6fCVD40.pt-BR.vtt |
340 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.en.vtt |
340 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.ar.vtt |
341 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.zh-CN.vtt |
341 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-Bp6oBbLw8qE.pt-BR.vtt |
341 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.it.vtt |
341 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.en.vtt |
341 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.th.vtt |
342 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.ar.vtt |
342 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.en.vtt |
342 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price--P5lMGuVA6U.pt-BR.vtt |
342 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-DX_f02bUHT0.zh-CN.vtt |
342 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.en.vtt |
342 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.en.vtt |
343 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.pt-BR.vtt |
344 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-XN1eS7boCNg.pt-BR.vtt |
344 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price--P5lMGuVA6U.zh-CN.vtt |
344 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-aMOZWZO5hZ8.ja.vtt |
345 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.ja.vtt |
345 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-aUc0FKD4834.zh-CN.vtt |
345 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature-9KAHkienFWk.ar.vtt |
345 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.en.vtt |
346 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-QWWq77k-K_0.en.vtt |
346 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/05. Frances Gerety-n9heeZ1Dw8A.zh-CN.vtt |
346 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/11. Overplotting Revisited-AvokBc1DoEU.en.vtt |
347 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/13. Weighting by Term Frequency-pt_S3HwE5GY.en.vtt |
348 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.es-ES.vtt |
348 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.zh-CN.vtt |
348 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.es-ES.vtt |
348 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.pt-BR.vtt |
349 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/13. Weighting by Term Frequency-pt_S3HwE5GY.pt-BR.vtt |
349 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.en.vtt |
349 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.en.vtt |
349 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.es-ES.vtt |
350 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-CMIM_Ocu8vg.en.vtt |
350 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-M2Sp-Y2a71c.ja.vtt |
350 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.en.vtt |
350 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.ja.vtt |
350 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.zh-CN.vtt |
351 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.en.vtt |
351 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-vhDpWgdpSHg.ja.vtt |
351 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-AjI84ujXBHk.ja.vtt |
351 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/05. Confusion Matrices-bEAaNv-CBQ4.ar.vtt |
352 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-HWW9BNHnPo0.zh-CN.vtt |
352 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-zqmrW9N9WGw.zh-CN.vtt |
352 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.zh-CN.vtt |
352 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.ar.vtt |
352 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.en.vtt |
353 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.ja.vtt |
353 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-4YP0K-5c310.ar.vtt |
354 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.pt-BR.vtt |
354 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.pt-BR.vtt |
354 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-CMIM_Ocu8vg.pt-BR.vtt |
354 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.th.vtt |
354 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.en.vtt |
354 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/07. Match Points (again)-9J3IwQFXveI.en.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/05. Frances Gerety-n9heeZ1Dw8A.pt-BR.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.zh-CN.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.zh-CN.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-T7rdBFQQ0Fw.zh-CN.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/08. Stopwords-2FQu07aKLwg.pt-BR.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.es-ES.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/04. Price and Carat Relationship-gG4xwgj1yVA.ar.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/07. Match Points (again)-9J3IwQFXveI.zh-CN.vtt |
355 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/34. Bayesian Probabilities On Your Own-2StCBxTOoK0.ar.vtt |
356 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/12. Decision Tree Accuracy-1z5mVNdF1KA.ar.vtt |
356 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.pt-BR.vtt |
356 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.es-ES.vtt |
356 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-EDFp4wU5BMo.zh-CN.vtt |
356 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.ja.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.en.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-T-dTpFd7EO0.ar.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/01. Data Dimensionality-bAZJT4xHiXM.ar.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.es-ES.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-tkllhaHoko8.ar.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/12. Decision Tree Accuracy-1z5mVNdF1KA.ja.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-sudTOiG-NJo.ja.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.es-ES.vtt |
357 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.en.vtt |
358 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.es-ES.vtt |
358 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.th.vtt |
359 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.it.vtt |
359 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/07. Constructing A Decision TreeThird Split-RxySNoOmXnc.ar.vtt |
359 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-oOUx6NHppdQ.ar.vtt |
359 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-vhDpWgdpSHg.en.vtt |
360 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/09. Handoff to Katie-GkqOdgZnkig.ja.vtt |
360 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.pt-BR.vtt |
360 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.es-ES.vtt |
360 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-QsncWsyboFk.ar.vtt |
360 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-FY0DXe0lfrI.zh-CN.vtt |
361 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality-s24-ikl3ZAs.zh-CN.vtt |
361 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/05. Practice with Margins-l3zXhTxQiTs.ar.vtt |
362 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/08. Troubleshooting With Appending-KwtjTmDMZGE.zh-CN.vtt |
362 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.pt-BR.vtt |
362 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.zh-CN.vtt |
362 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/08. Stopwords-2FQu07aKLwg.en.vtt |
362 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/05. Trickiest Data Dimensionality-vIxDt0bNV9g.pt-BR.vtt |
362 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-sudTOiG-NJo.pt-BR.vtt |
363 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-45_uUhPcz38.zh-CN.vtt |
364 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.en.vtt |
364 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.ar.vtt |
364 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-y8g6YeD7Gyk.zh-CN.vtt |
364 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.en.vtt |
364 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.zh-CN.vtt |
366 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-g88Q5qyiZxE.pt-BR.vtt |
366 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-cuBxHYSPrkA.zh-CN.vtt |
366 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-HAQ0-Skvzmc.zh-CN.vtt |
366 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.es-ES.vtt |
366 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-cuBxHYSPrkA.pt-BR.vtt |
367 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.zh-CN.vtt |
367 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-bhwb2v9rEdI.ar.vtt |
367 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.es-ES.vtt |
367 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/08. Troubleshooting With Appending-KwtjTmDMZGE.en.vtt |
368 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-FY0DXe0lfrI.en.vtt |
368 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/16. Handoff to Katie-M3Nwl_B_bZ8.en.vtt |
368 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.zh-CN.vtt |
369 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.zh-CN.vtt |
369 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/07. Match Points (again)-9J3IwQFXveI.pt-BR.vtt |
369 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.zh-CN.vtt |
369 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-FY0DXe0lfrI.pt-BR.vtt |
370 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.en.vtt |
370 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/11. Quality Visual Assessment 2 -dRbjnKOnd0Y.pt-BR.vtt |
370 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.ja.vtt |
370 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-CIxvkVy1UBI.zh-CN.vtt |
371 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt |
371 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.ja.vtt |
371 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-aALYYSwS7MM.en.vtt |
371 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line-O4jFvJWal6s.zh-CN.vtt |
372 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/21. A New Perspective-bUvlDsmmpIo.ja.vtt |
372 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/29. Problem with SSE-VD14oP-Ue6M.zh-CN.vtt |
372 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.it.vtt |
372 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/04. Mr. Day Loves a Nice Day-uETh8McUAfY.ar.vtt |
373 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.pt-BR.vtt |
373 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/29. Analyzing One Variable-yqwCYeaQAl0.zh-CN.vtt |
373 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.ja.vtt |
373 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.en.vtt |
373 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.ja.vtt |
374 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-aALYYSwS7MM.pt-BR.vtt |
374 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.pt-BR.vtt |
375 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.it.vtt |
375 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.zh-CN.vtt |
376 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.pt-BR.vtt |
376 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-QWWq77k-K_0.pt-BR.vtt |
376 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-EDFp4wU5BMo.en.vtt |
377 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.pt-BR.vtt |
377 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.pt-BR.vtt |
377 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/08. Troubleshooting With Appending-KwtjTmDMZGE.pt-BR.vtt |
377 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-FwaYsmnlLM4.zh-CN.vtt |
378 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.zh-CN.vtt |
378 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.pt-BR.vtt |
379 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.zh-CN.vtt |
379 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.zh-CN.vtt |
380 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.zh-CN.vtt |
380 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-vhDpWgdpSHg.pt-BR.vtt |
381 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/16. Handoff to Katie-M3Nwl_B_bZ8.pt-BR.vtt |
382 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.en.vtt |
382 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.it.vtt |
382 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-HWW9BNHnPo0.en.vtt |
382 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-3RuKO3PQWg0.pt-BR.vtt |
383 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.pt-BR.vtt |
383 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.hr.vtt |
383 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.hr.vtt |
384 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-8Ygq5dRV0Kk.zh-CN.vtt |
385 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-nvLhUSSUhiY.ar.vtt |
385 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/21. A New Perspective-bUvlDsmmpIo.en.vtt |
386 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/11. Overplotting Revisited-AvokBc1DoEU.pt-BR.vtt |
386 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.ar.vtt |
387 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.en.vtt |
387 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-obhHCeHpysw.ar.vtt |
387 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.es-ES.vtt |
388 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/29. Information Gain Calculation Part 8-c7UjSq7Fmr8.ar.vtt |
388 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.pt-BR.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.es-ES.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.zh-CN.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.ja.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.ja.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-EDFp4wU5BMo.ja.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-GR1ZsrwhZUs.zh-CN.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.zh-CN.vtt |
389 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.ja.vtt |
390 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.es-ES.vtt |
390 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-Bp6oBbLw8qE.ar.vtt |
391 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.en.vtt |
391 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.pt-BR.vtt |
391 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/11. Overplotting Revisited-AvokBc1DoEU.ja.vtt |
392 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/21. A New Perspective-bUvlDsmmpIo.pt-BR.vtt |
392 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt |
392 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-1ask5zHGQKM.ar.vtt |
393 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.pt-BR.vtt |
393 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.en-US.vtt |
393 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.th.vtt |
393 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-y8g6YeD7Gyk.pt-BR.vtt |
393 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.es-ES.vtt |
393 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.en.vtt |
394 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-HAQ0-Skvzmc.en.vtt |
394 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-y8g6YeD7Gyk.ja.vtt |
395 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality-s24-ikl3ZAs.en.vtt |
395 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.ar.vtt |
395 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.ja.vtt |
395 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-45_uUhPcz38.pt-BR.vtt |
396 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.pt-BR.vtt |
396 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.ar.vtt |
396 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.zh-CN.vtt |
396 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-y8g6YeD7Gyk.en.vtt |
397 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.pt-BR.vtt |
397 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-J0Ls7F-lN4o.en.vtt |
397 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.ja.vtt |
397 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-zqmrW9N9WGw.ja.vtt |
398 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/29. Analyzing One Variable-yqwCYeaQAl0.ja.vtt |
398 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.th.vtt |
398 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-hqO8kxRJdd4.zh-CN.vtt |
399 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.ar.vtt |
399 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.ar.vtt |
399 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.en.vtt |
399 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.en.vtt |
399 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.zh-CN.vtt |
399 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-J0Ls7F-lN4o.zh-CN.vtt |
400 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.pt-BR.vtt |
401 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-wbCq7wm81BU.zh-CN.vtt |
401 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/22. Drawing Conclusions-Glctk6ahdFU.zh-CN.vtt |
401 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-XN1eS7boCNg.ar.vtt |
402 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price--P5lMGuVA6U.ar.vtt |
402 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.ar.vtt |
402 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/18. Maximal Variance-FpQm_dYA9LM.pt-BR.vtt |
402 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.zh-CN.vtt |
403 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.ja.vtt |
403 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.zh-CN.vtt |
403 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.ar.vtt |
404 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-5v1jxDIwGqk.zh-CN.vtt |
404 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-i7pRvuVoWg0.en.vtt |
404 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-HAQ0-Skvzmc.pt-BR.vtt |
405 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-CIxvkVy1UBI.en.vtt |
405 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.ar.vtt |
405 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.zh-CN.vtt |
405 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.pt-BR.vtt |
405 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-wbCq7wm81BU.pt-BR.vtt |
405 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-g88Q5qyiZxE.ar.vtt |
406 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.pt-BR.vtt |
406 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-HWW9BNHnPo0.pt-BR.vtt |
406 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.es-ES.vtt |
406 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/18. Maximal Variance-FpQm_dYA9LM.en.vtt |
406 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-aUc0FKD4834.en.vtt |
407 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-b7oUjvNJWCc.zh-CN.vtt |
407 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-WDADret_QqE.zh-CN.vtt |
408 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-2cUiqlbt-hc.ar.vtt |
408 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.ar.vtt |
408 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.zh-CN.vtt |
408 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.zh-CN.vtt |
408 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-4hJlaYRHdpA.zh-CN.vtt |
408 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.it.vtt |
409 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/25. Communicating Results-tmAlVZCbgFA.zh-CN.vtt |
409 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-45_uUhPcz38.en.vtt |
409 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-V-jzhJoeZj8.zh-CN.vtt |
409 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-i7pRvuVoWg0.zh-CN.vtt |
409 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-aALYYSwS7MM.ja.vtt |
410 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt |
410 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.pt-BR.vtt |
410 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.pt-BR.vtt |
410 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.zh-CN.vtt |
410 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality-s24-ikl3ZAs.pt-BR.vtt |
410 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.pt-BR.vtt |
411 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.zh-CN.vtt |
411 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.ar.vtt |
411 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.es-ES.vtt |
412 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-cuBxHYSPrkA.en.vtt |
412 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/19. Entropy Calculation Part 4-V0FNwMKhIVM.ar.vtt |
413 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.en.vtt |
414 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.zh-CN.vtt |
414 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-e_8DmUBHAao.zh-CN.vtt |
414 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.it.vtt |
414 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-f_SBhjbfmPw.zh-CN.vtt |
415 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.ja.vtt |
415 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line-O4jFvJWal6s.en.vtt |
415 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line-O4jFvJWal6s.pt-BR.vtt |
415 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.th.vtt |
415 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 02_Design/22. Onwards!-i-ulsdVHhCc.zh-CN.vtt |
416 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-8SqL0v_FSsc.zh-CN.vtt |
416 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-CIxvkVy1UBI.ja.vtt |
416 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.en.vtt |
416 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-TcSnd3_hAy8.zh-CN.vtt |
416 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.ja.vtt |
417 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-EDFp4wU5BMo.pt-BR.vtt |
417 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-CIxvkVy1UBI.pt-BR.vtt |
417 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.es-ES.vtt |
417 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.en.vtt |
418 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.pt-BR.vtt |
418 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.en.vtt |
419 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.ja.vtt |
419 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/09. Handoff to Katie-GkqOdgZnkig.ar.vtt |
419 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.en.vtt |
419 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.ar.vtt |
420 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.ja.vtt |
420 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-XYHTuv2FpWQ.zh-CN.vtt |
420 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.zh-CN.vtt |
420 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.pt-BR.vtt |
421 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-aMOZWZO5hZ8.ar.vtt |
421 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/29. Problem with SSE-VD14oP-Ue6M.en.vtt |
421 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-zqmrW9N9WGw.en.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-QWWq77k-K_0.ar.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.pt-BR.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.it.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.zh-CN.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-q4c5n5W2aUc.zh-CN.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.ar.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.ar.vtt |
422 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-DzyOcsBIncA.ar.vtt |
423 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/12. From Scatterplots to Predictions 2-vG3ahYyLHlQ.ar.vtt |
423 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-DX_f02bUHT0.pt-BR.vtt |
423 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.en.vtt |
423 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.th.vtt |
423 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-ZMfwPUrOFsE.zh-CN.vtt |
424 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.es-ES.vtt |
424 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.en.vtt |
424 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/05. Frances Gerety-n9heeZ1Dw8A.ja.vtt |
424 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.ja.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.en.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.es-ES.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-Lb_v4vj3TNs.zh-CN.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.hr.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-oWyt6md7P44.zh-CN.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-g5yfjKWIKN4.ar.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/05. Trickiest Data Dimensionality-vIxDt0bNV9g.ar.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.zh-CN.vtt |
425 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.pt-BR.vtt |
426 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/01. Multivariate Data-jsg6lhrJN1g.zh-CN.vtt |
426 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.zh-CN.vtt |
426 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.es-ES.vtt |
426 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price-Ck4i1Yk4pT0.zh-CN.vtt |
426 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-bxDutNyYKjE.zh-CN.vtt |
426 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-J0Ls7F-lN4o.pt-BR.vtt |
427 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.en.vtt |
427 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.pt-BR.vtt |
427 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/47. What's Next-y46uDftUXHo.en.vtt |
428 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.ja.vtt |
428 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-T7rdBFQQ0Fw.en.vtt |
428 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.en.vtt |
428 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price-Ck4i1Yk4pT0.pt-BR.vtt |
429 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/22. Drawing Conclusions-Glctk6ahdFU.en.vtt |
430 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-i7pRvuVoWg0.ja.vtt |
431 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.zh-CN.vtt |
431 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.en.vtt |
432 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/01. Communicating With Your Data-KDnca1zszIo.zh-CN.vtt |
432 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-aUc0FKD4834.pt-BR.vtt |
432 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price--P5lMGuVA6U.ja.vtt |
432 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.it.vtt |
433 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.pt-BR.vtt |
433 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-aUc0FKD4834.ja.vtt |
433 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-i7pRvuVoWg0.pt-BR.vtt |
433 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.en.vtt |
433 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/47. What's Next-y46uDftUXHo.zh-CN.vtt |
434 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-lJlS-Xdlu5o.ja.vtt |
434 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-wbCq7wm81BU.en.vtt |
435 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.en.vtt |
435 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.it.vtt |
435 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-T7rdBFQQ0Fw.pt-BR.vtt |
435 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.ar.vtt |
436 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-zqmrW9N9WGw.pt-BR.vtt |
436 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/20. The Spread of Memes-B-khnSU3DfM.en.vtt |
436 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/13. Weighting by Term Frequency-pt_S3HwE5GY.ar.vtt |
436 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-e_8DmUBHAao.en.vtt |
437 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.ar.vtt |
437 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-sudTOiG-NJo.ar.vtt |
438 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt |
438 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-8Ygq5dRV0Kk.pt-BR.vtt |
439 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/09. Second Principal Component Of New System-cTjBlM2ATLQ.zh-CN.vtt |
440 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.zh-CN.vtt |
440 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.pt-BR.vtt |
440 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-b7oUjvNJWCc.en.vtt |
440 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.zh-CN.vtt |
441 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.th.vtt |
441 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.zh-CN.vtt |
442 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/29. Analyzing One Variable-yqwCYeaQAl0.en.vtt |
442 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.pt-BR.vtt |
442 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-U2yZxIeG2t0.ja.vtt |
443 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.ja.vtt |
444 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-uC1Xwc7warg.ar.vtt |
444 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.pt-BR.vtt |
444 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.it.vtt |
444 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.ar.vtt |
445 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price-Ck4i1Yk4pT0.en.vtt |
445 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-WDADret_QqE.pt-BR.vtt |
445 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.zh-CN.vtt |
446 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/05. Frances Gerety-n9heeZ1Dw8A.ar.vtt |
446 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-xPDk70gKkjk.ar.vtt |
447 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.pt-BR.vtt |
447 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-GR1ZsrwhZUs.pt-BR.vtt |
447 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/16. Handoff to Katie-M3Nwl_B_bZ8.ar.vtt |
447 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.th.vtt |
447 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-TcSnd3_hAy8.en.vtt |
449 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.en.vtt |
449 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.ja.vtt |
449 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-FwaYsmnlLM4.en.vtt |
449 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price-Ck4i1Yk4pT0.en-US.vtt |
449 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price-Ck4i1Yk4pT0.ja.vtt |
450 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.zh-CN.vtt |
451 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-ZMfwPUrOFsE.en.vtt |
451 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.es-ES.vtt |
451 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-0PFq8zoaNWU.zh-CN.vtt |
451 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-8SqL0v_FSsc.pt-BR.vtt |
451 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/01. Multivariate Data-jsg6lhrJN1g.ja.vtt |
451 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/20. The Spread of Memes-B-khnSU3DfM.pt-BR.vtt |
452 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.it.vtt |
452 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt |
453 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-8SqL0v_FSsc.en.vtt |
453 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.en.vtt |
453 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.hr.vtt |
453 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/README.txt |
454 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-O5B-Z5SUoc8.zh-CN.vtt |
454 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-b7oUjvNJWCc.pt-BR.vtt |
454 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-ZMfwPUrOFsE.pt-BR.vtt |
454 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.pt-BR.vtt |
454 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.es-ES.vtt |
455 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.en.vtt |
455 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-CMIM_Ocu8vg.ar.vtt |
455 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.ar.vtt |
455 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.zh-CN.vtt |
456 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/11. Quality Visual Assessment 2 -dRbjnKOnd0Y.ar.vtt |
456 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-lJlS-Xdlu5o.zh-CN.vtt |
456 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.ar.vtt |
456 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.it.vtt |
456 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-e_8DmUBHAao.pt-BR.vtt |
456 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.zh-CN.vtt |
456 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/29. Problem with SSE-VD14oP-Ue6M.pt-BR.vtt |
457 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt |
457 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-DX_f02bUHT0.en.vtt |
457 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-GR1ZsrwhZUs.en.vtt |
458 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/29. Total Probability-AjI84ujXBHk.ar.vtt |
458 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.zh-CN.vtt |
458 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/25. Communicating Results-tmAlVZCbgFA.en.vtt |
458 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-8Ygq5dRV0Kk.en.vtt |
458 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/01. Welcome!-cCOHhYXU6G0.zh-CN.vtt |
458 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.ja.vtt |
458 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.ar.vtt |
459 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/08. Troubleshooting With Appending-KwtjTmDMZGE.ar.vtt |
459 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.es-ES.vtt |
459 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.zh-CN.vtt |
460 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt |
460 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.zh-CN.vtt |
460 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.en.vtt |
461 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-b7oUjvNJWCc.ja.vtt |
461 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-TcSnd3_hAy8.pt-BR.vtt |
461 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.ar.vtt |
462 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-WDADret_QqE.en.vtt |
462 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.ar.vtt |
462 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.ar.vtt |
463 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/01. Communicating With Your Data-KDnca1zszIo.en.vtt |
464 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-3RuKO3PQWg0.ar.vtt |
464 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.pt-BR.vtt |
465 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.es-ES.vtt |
466 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-wbCq7wm81BU.ja.vtt |
466 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-M2Sp-Y2a71c.ar.vtt |
466 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-8SqL0v_FSsc.ja.vtt |
466 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.en.vtt |
467 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.zh-CN.vtt |
467 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-Jbqf8OBORDg.zh-CN.vtt |
467 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-XYHTuv2FpWQ.en.vtt |
468 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-hqO8kxRJdd4.en.vtt |
468 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.en.vtt |
468 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.en.vtt |
468 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.hr.vtt |
469 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-bxDutNyYKjE.en.vtt |
469 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-V-jzhJoeZj8.ja.vtt |
469 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.en.vtt |
469 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.en.vtt |
470 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-PxE2bbG2Hkw.en.vtt |
470 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/09. Getting Stopwords from NLTK-R0RqC-yerD4.zh-CN.vtt |
470 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-HWW9BNHnPo0.ar.vtt |
471 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.es-ES.vtt |
471 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.ar.vtt |
471 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.es-ES.vtt |
471 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-bxDutNyYKjE.en-US.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-e_8DmUBHAao.ja.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.ar.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-4hJlaYRHdpA.en.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/16. Cleaning Data-AJF5smH1TJU.zh-CN.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-J0Ls7F-lN4o.ja.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.en.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.en-US.vtt |
472 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.ar.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.es-ES.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.ar.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-q4c5n5W2aUc.en.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.ja.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.pt-BR.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.en.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-U2yZxIeG2t0.en.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.pt-BR.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-wnIQ6fCVD40.ar.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.zh-CN.vtt |
473 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-4hJlaYRHdpA.pt-BR.vtt |
474 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.ar.vtt |
474 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split-A7KKnDmZBA0.ar.vtt |
474 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/29. Analyzing One Variable-yqwCYeaQAl0.pt-BR.vtt |
474 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.it.vtt |
476 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.en.vtt |
476 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/01. Welcome!-cCOHhYXU6G0.ja.vtt |
476 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.pt-BR.vtt |
478 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-FwaYsmnlLM4.pt-BR.vtt |
478 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.es-ES.vtt |
478 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/09. Getting Stopwords from NLTK-R0RqC-yerD4.pt-BR.vtt |
478 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-XYHTuv2FpWQ.ja.vtt |
478 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-V-jzhJoeZj8.en.vtt |
478 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.en.vtt |
479 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-FY0DXe0lfrI.ar.vtt |
479 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/11. Overplotting Revisited-AvokBc1DoEU.ar.vtt |
479 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/21. A New Perspective-bUvlDsmmpIo.ar.vtt |
480 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.es-ES.vtt |
480 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.th.vtt |
480 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.pt-BR.vtt |
481 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.ar.vtt |
481 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-hqO8kxRJdd4.en-US.vtt |
482 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-f_SBhjbfmPw.en.vtt |
482 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-hqO8kxRJdd4.pt-BR.vtt |
482 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-vhDpWgdpSHg.ar.vtt |
482 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.pt-BR.vtt |
482 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.en-US.vtt |
482 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-lJlS-Xdlu5o.pt-BR.vtt |
483 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-f_SBhjbfmPw.pt-BR.vtt |
483 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-oWyt6md7P44.en.vtt |
483 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.ja.vtt |
483 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/08. Stopwords-2FQu07aKLwg.ar.vtt |
483 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.en.vtt |
484 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-PxE2bbG2Hkw.zh-CN.vtt |
484 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-PxE2bbG2Hkw.pt-BR.vtt |
484 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-DLCq1-kOGX0.zh-CN.vtt |
485 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-6ufIq2nrTwg.zh-CN.vtt |
485 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/09. L4_Mini Project-CGPO68cOCgc.zh-CN.vtt |
485 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/22. Drawing Conclusions-Glctk6ahdFU.pt-BR.vtt |
486 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-lJlS-Xdlu5o.en.vtt |
486 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.en.vtt |
486 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-TcSnd3_hAy8.ja.vtt |
487 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.pt-BR.vtt |
488 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.zh-CN.vtt |
488 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-Jbqf8OBORDg.pt-BR.vtt |
488 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/09. Second Principal Component Of New System-cTjBlM2ATLQ.en.vtt |
489 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-U2yZxIeG2t0.pt-BR.vtt |
489 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-5v1jxDIwGqk.en.vtt |
490 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.zh-CN.vtt |
490 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-n7gp8USw0Jw.zh-CN.vtt |
490 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/18. Maximal Variance-FpQm_dYA9LM.ar.vtt |
490 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt |
490 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.ar.vtt |
491 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.en.vtt |
491 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.pt-BR.vtt |
491 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-Lb_v4vj3TNs.en.vtt |
491 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.ja.vtt |
491 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.zh-CN.vtt |
492 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/01. Multivariate Data-jsg6lhrJN1g.pt-BR.vtt |
492 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.ja.vtt |
492 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.ar.vtt |
493 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.es-ES.vtt |
493 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.pt-BR.vtt |
494 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-45_uUhPcz38.ja.vtt |
494 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-i7pRvuVoWg0.ar.vtt |
494 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.pt-BR.vtt |
495 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.zh-CN.vtt |
495 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.en.vtt |
495 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/01. Multivariate Data-jsg6lhrJN1g.en.vtt |
495 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-CIxvkVy1UBI.ar.vtt |
496 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.pt-BR.vtt |
496 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.en.vtt |
496 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/01. Welcome!-cCOHhYXU6G0.pt-BR.vtt |
497 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.ar.vtt |
497 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.pt-BR.vtt |
497 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-q4c5n5W2aUc.pt-BR.vtt |
497 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-cUhgZ2BnWq0.zh-CN.vtt |
497 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.en.vtt |
497 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/17. Composite Features-0ZBp8oWySAc.zh-CN.vtt |
498 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.pt-BR.vtt |
498 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.zh-CN.vtt |
499 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-Kn9v0KGDsvc.zh-CN.vtt |
499 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/14. Analyzing Multiple Metrics-DtZghKNa7Ak.zh-CN.vtt |
499 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.pt-BR.vtt |
500 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-aUc0FKD4834.ar.vtt |
501 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.pt-BR.vtt |
501 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-k_mm11ePWpg.ja.vtt |
501 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.en.vtt |
501 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.es-ES.vtt |
502 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/01. Welcome!-cCOHhYXU6G0.en.vtt |
502 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.zh-CN.vtt |
502 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.zh-CN.vtt |
503 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.pt-BR.vtt |
503 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/05. Data Types Review-xzZZZCZk5YM.zh-CN.vtt |
503 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-CStZqZRe6Mk.zh-CN.vtt |
503 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.it.vtt |
504 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.zh-CN.vtt |
504 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-OIxLJeZ_jNI.zh-CN.vtt |
504 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.zh-CN.vtt |
505 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality-s24-ikl3ZAs.ar.vtt |
505 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/09. Confusion Matrix False Alarms-611qWzIxGmU.zh-CN.vtt |
505 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/15. Transition to Using Naive Bayes-2_dJXh1qqe0.en.vtt |
507 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.zh-CN.vtt |
507 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/09. Second Principal Component Of New System-cTjBlM2ATLQ.pt-BR.vtt |
507 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-U2yZxIeG2t0.zh-CN.vtt |
508 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.pt-BR.vtt |
508 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/25. Congratulations and Next Steps-ph4p8n-I7vw.zh-CN.vtt |
508 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-cuBxHYSPrkA.ar.vtt |
508 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.en.vtt |
508 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.ar.vtt |
509 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/07. Match Points (again)-9J3IwQFXveI.ar.vtt |
510 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/09. Getting Stopwords from NLTK-R0RqC-yerD4.en.vtt |
510 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-GD9Bpjm31co.zh-CN.vtt |
510 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-b7oUjvNJWCc.ar.vtt |
511 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.en.vtt |
512 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.ar.vtt |
512 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/05. Introduction-fxNSn63xFvA.zh-CN.vtt |
513 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 06-Module 01-Lesson 01_Welcome to Term 2!/06. Introduction-fxNSn63xFvA.zh-CN.vtt |
513 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.en.vtt |
513 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-Jbqf8OBORDg.en.vtt |
513 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line-O4jFvJWal6s.ar.vtt |
515 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 10-Module 01-Lesson 01_Congratulations & Next Steps/03. Projects-1-E_ZYovKeI.pt-BR.vtt |
516 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.ar.vtt |
516 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.pt-BR.vtt |
516 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.zh-CN.vtt |
516 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.es-ES.vtt |
516 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.hr.vtt |
517 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-XYHTuv2FpWQ.pt-BR.vtt |
517 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/16. Cleaning Data-AJF5smH1TJU.en.vtt |
518 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-oWyt6md7P44.pt-BR.vtt |
518 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.ar.vtt |
518 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.ar.vtt |
518 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-V-jzhJoeZj8.pt-BR.vtt |
520 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-EDFp4wU5BMo.ar.vtt |
521 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.zh-CN.vtt |
521 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-8Ygq5dRV0Kk.ar.vtt |
521 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.zh-CN.vtt |
522 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.zh-CN.vtt |
522 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.pt-BR.vtt |
522 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/25. Communicating Results-tmAlVZCbgFA.pt-BR.vtt |
523 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/09. L4_Mini Project-CGPO68cOCgc.en.vtt |
523 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.pt-BR.vtt |
523 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.pt-BR.vtt |
523 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.en.vtt |
523 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-DLCq1-kOGX0.en.vtt |
524 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.ar.vtt |
524 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.en.vtt |
524 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.ja.vtt |
525 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-bxDutNyYKjE.pt-BR.vtt |
526 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-TpVxnYcI_uw.zh-CN.vtt |
526 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.pt-BR.vtt |
526 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/22. Drawing Conclusions-Glctk6ahdFU.ar.vtt |
526 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.ja.vtt |
527 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 10-Module 01-Lesson 01_Congratulations & Next Steps/03. Projects-1-E_ZYovKeI.en.vtt |
527 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.en.vtt |
527 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-GR1ZsrwhZUs.ja.vtt |
527 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/07. How Does Your Algorithm Compare-B2KnUg5iz0Y.zh-CN.vtt |
528 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.en.vtt |
528 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-a2GCyz_N0oY.zh-CN.vtt |
528 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.pt-BR.vtt |
529 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.es-ES.vtt |
529 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ziYBjY1kTC8.zh-CN.vtt |
529 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-Lb_v4vj3TNs.pt-BR.vtt |
529 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.pt-BR.vtt |
530 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.en.vtt |
530 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.hr.vtt |
530 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/13. Some challenges of k-means-e2CdlG5P4WA.zh-CN.vtt |
530 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Coding inside the skeleton loop-MRPdqOwnqag.zh-CN.vtt |
530 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/15. Transition to Using Naive Bayes-2_dJXh1qqe0.zh-CN.vtt |
531 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-aALYYSwS7MM.ar.vtt |
531 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.zh-CN.vtt |
531 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.ja.vtt |
531 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.es-ES.vtt |
531 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.ja.vtt |
532 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-J0Ls7F-lN4o.ar.vtt |
532 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.zh-CN.vtt |
532 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.ar.vtt |
532 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.zh-CN.vtt |
532 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.ar.vtt |
533 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-0PFq8zoaNWU.pt-BR.vtt |
533 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.pt-BR.vtt |
533 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.es-ES.vtt |
533 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-y8g6YeD7Gyk.ar.vtt |
533 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-bRhdim9PTFI.zh-CN.vtt |
534 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.ar.vtt |
534 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.en.vtt |
534 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/09. Confusion Matrix False Alarms-611qWzIxGmU.en.vtt |
534 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-PxE2bbG2Hkw.ja.vtt |
535 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.es-ES.vtt |
535 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.ar.vtt |
535 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-HAQ0-Skvzmc.ar.vtt |
535 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-0PFq8zoaNWU.en.vtt |
536 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-T7rdBFQQ0Fw.ar.vtt |
536 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.en.vtt |
536 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.zh-CN.vtt |
536 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.zh-CN.vtt |
536 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-rexAHoCGFMs.zh-CN.vtt |
537 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.en.vtt |
537 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.es-ES.vtt |
538 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.zh-CN.vtt |
538 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt |
538 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-5v1jxDIwGqk.pt-BR.vtt |
538 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-wbCq7wm81BU.ar.vtt |
538 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-WxAO6ByCvew.zh-CN.vtt |
539 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-PlFG87qPSB4.zh-CN.vtt |
539 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-45_uUhPcz38.ar.vtt |
539 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.hr.vtt |
539 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/02. Accuracy Review-g3sxDtlGlAM.zh-CN.vtt |
539 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.en.vtt |
540 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/13. Some challenges of k-means-e2CdlG5P4WA.pt-BR.vtt |
540 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/09. L4_Mini Project-CGPO68cOCgc.pt-BR.vtt |
540 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.pt-BR.vtt |
541 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.th.vtt |
541 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 02_Design/22. Onwards!-i-ulsdVHhCc.pt-BR.vtt |
541 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.ja.vtt |
541 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt |
542 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/29. Problem with SSE-VD14oP-Ue6M.ar.vtt |
543 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.ar.vtt |
543 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-cUhgZ2BnWq0.en.vtt |
543 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-Njbmexuo7fo.zh-CN.vtt |
543 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.ar.vtt |
544 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.zh-CN.vtt |
544 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 02_Design/22. Onwards!-i-ulsdVHhCc.en.vtt |
546 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-PYNWtLgtRfU.zh-CN.vtt |
547 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.zh-CN.vtt |
547 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/15. Transition to Using Naive Bayes-2_dJXh1qqe0.pt-BR.vtt |
547 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-OrPlWwv19Jc.zh-CN.vtt |
547 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.ar.vtt |
547 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.pt-BR.vtt |
547 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.pt-BR.vtt |
547 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/20. The Spread of Memes-B-khnSU3DfM.ar.vtt |
548 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.th.vtt |
548 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.zh-CN.vtt |
549 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.en.vtt |
549 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/17. Composite Features-0ZBp8oWySAc.pt-BR.vtt |
549 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-swoZxkrxIB0.en.vtt |
549 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.ar.vtt |
549 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/05. Data Types Review-xzZZZCZk5YM.en.vtt |
550 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt |
551 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-j2SP83afRS0.zh-CN.vtt |
552 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-GMe5JT2_oUE.zh-CN.vtt |
552 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.it.vtt |
552 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.zh-CN.vtt |
552 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.pt-BR.vtt |
552 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price-Ck4i1Yk4pT0.ar.vtt |
553 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.en.vtt |
553 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-swoZxkrxIB0.zh-CN.vtt |
553 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.zh-CN.vtt |
553 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.zh-CN.vtt |
554 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.th.vtt |
554 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.en.vtt |
555 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt |
556 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.zh-CN.vtt |
556 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.ja.vtt |
557 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.en.vtt |
558 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.zh-CN.vtt |
558 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.ar.vtt |
558 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-q4c5n5W2aUc.ar.vtt |
559 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/12. Which Data is Ready for PCA-JSVsHbGUuIE.zh-CN.vtt |
560 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-DLCq1-kOGX0.pt-BR.vtt |
560 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.es-ES.vtt |
560 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-Kn9v0KGDsvc.en.vtt |
561 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.ar.vtt |
561 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-O5B-Z5SUoc8.pt-BR.vtt |
561 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-gfZ7C-QBF0k.zh-CN.vtt |
562 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.ar.vtt |
562 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-k_mm11ePWpg.zh-CN.vtt |
563 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.pt-BR.vtt |
563 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-n7gp8USw0Jw.pt-BR.vtt |
563 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-PxE2bbG2Hkw.ar.vtt |
563 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.en.vtt |
564 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.es-ES.vtt |
565 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-a2GCyz_N0oY.en.vtt |
565 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.hr.vtt |
565 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-O5B-Z5SUoc8.en.vtt |
566 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.zh-CN.vtt |
566 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.es-ES.vtt |
566 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/47. What's Next-y46uDftUXHo.ar.vtt |
566 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-GD9Bpjm31co.en.vtt |
566 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.pt-BR.vtt |
567 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/09. Confusion Matrix False Alarms-611qWzIxGmU.pt-BR.vtt |
567 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.pt-BR.vtt |
567 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-erdekkpG-Do.pt-BR.vtt |
568 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-swoZxkrxIB0.pt-BR.vtt |
568 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.en.vtt |
569 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Coding inside the skeleton loop-MRPdqOwnqag.en.vtt |
569 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.zh-CN.vtt |
569 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-GD9Bpjm31co.en-US.vtt |
569 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.pt-BR.vtt |
570 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/09. Supervised Learning w Continuous Output-F7PIJM0q524.zh-CN.vtt |
570 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-DX_f02bUHT0.ar.vtt |
570 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.en.vtt |
571 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.it.vtt |
571 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-OIxLJeZ_jNI.pt-BR.vtt |
571 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/14. Analyzing Multiple Metrics-DtZghKNa7Ak.en.vtt |
572 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.zh-CN.vtt |
572 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.ja.vtt |
572 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-6ufIq2nrTwg.pt-BR.vtt |
573 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/25. Congratulations and Next Steps-ph4p8n-I7vw.ja.vtt |
573 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.en.vtt |
573 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.en.vtt |
574 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-a2GCyz_N0oY.en-US.vtt |
574 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/04. Where to use training vs. testing data 1-z2R5CqjXrkA.zh-CN.vtt |
575 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.hr.vtt |
575 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-n7gp8USw0Jw.en.vtt |
575 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.es-ES.vtt |
575 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.en.vtt |
575 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.pt-BR.vtt |
576 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-a2GCyz_N0oY.pt-BR.vtt |
576 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.zh-CN.vtt |
577 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-WxAO6ByCvew.pt-BR.vtt |
577 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-gfZ7C-QBF0k.ja.vtt |
578 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/10. Types of Data Quiz 6--LtbhZvwwM8.zh-CN.vtt |
578 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.th.vtt |
578 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.zh-Hans.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.pt-BR.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-I_v6ueT0k3M.zh-CN.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-6ufIq2nrTwg.en.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-GD9Bpjm31co.pt-BR.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/23. Bayes Rule-1biLtViOQDc.zh-CN.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.zh-CN.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.th.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-WxAO6ByCvew.en.vtt |
579 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-adXoa85rnPM.zh-CN.vtt |
580 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/25. Congratulations and Next Steps-ph4p8n-I7vw.en.vtt |
581 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.zh-CN.vtt |
582 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.ar.vtt |
582 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/22. Unpacking NB Using Bayes Rule-lGREq530kfU.zh-CN.vtt |
582 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.pt-BR.vtt |
582 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/11. Friend Count-gydx9-h1liU.ja.vtt |
582 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.zh-CN.vtt |
582 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-FwaYsmnlLM4.ar.vtt |
582 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-GR1ZsrwhZUs.ar.vtt |
583 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-ZMfwPUrOFsE.ar.vtt |
583 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.pt-BR.vtt |
583 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-TbT6a6qaj08.zh-CN.vtt |
584 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.ja.vtt |
584 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.ar.vtt |
584 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/47. What's Next-y46uDftUXHo.pt-BR.vtt |
584 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.en.vtt |
586 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.ja.vtt |
587 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-sCZI5gWS6mg.zh-CN.vtt |
587 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-gfZ7C-QBF0k.en.vtt |
587 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-mdCk7Gwkd4g.ja.vtt |
588 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-TcSnd3_hAy8.ar.vtt |
588 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-wJV1cRjmIYY.zh-CN.vtt |
589 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 06-Module 01-Lesson 01_Welcome to Term 2!/06. Introduction-fxNSn63xFvA.en.vtt |
589 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/25. Congratulations and Next Steps-ph4p8n-I7vw.pt-BR.vtt |
589 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/05. Introduction-fxNSn63xFvA.en.vtt |
589 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.ja.vtt |
589 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-3FO2y4tlZ3A.zh-CN.vtt |
589 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.pt-BR.vtt |
589 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.en.vtt |
591 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/07. How Does Your Algorithm Compare-B2KnUg5iz0Y.en.vtt |
591 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.ar.vtt |
591 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/17. Congratulations-GxhPaVbDHnw.ja.vtt |
592 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.pt-BR.vtt |
593 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/06. Where to use training vs. testing data 3-o7LnSu0CEb4.zh-CN.vtt |
593 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-UeSD19oit_w.zh-CN.vtt |
593 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/01. Welcome!-rkWU07ZDYzA.ja.vtt |
594 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/27. Analyzing Two Variables-NRMKNuox9z0.zh-CN.vtt |
594 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.ja.vtt |
594 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.es-ES.vtt |
595 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.en.vtt |
595 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-e_8DmUBHAao.ar.vtt |
595 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.ja.vtt |
596 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-erdekkpG-Do.en.vtt |
596 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/11. Friend Count-gydx9-h1liU.zh-CN.vtt |
596 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/17. Composite Features-0ZBp8oWySAc.en.vtt |
596 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.pt-BR.vtt |
597 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.zh-CN.vtt |
597 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.ja.vtt |
597 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-zqmrW9N9WGw.ar.vtt |
597 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-4hJlaYRHdpA.ar.vtt |
597 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.it.vtt |
598 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ziYBjY1kTC8.en.vtt |
598 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.en.vtt |
598 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.pt-BR.vtt |
598 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.pt-BR.vtt |
599 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.hr.vtt |
599 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.ar.vtt |
599 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.en.vtt |
599 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.pt-BR.vtt |
599 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/25. Likes on the Web-stpXFmv_XrA.zh-CN.vtt |
600 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ziYBjY1kTC8.pt-BR.vtt |
600 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.en.vtt |
600 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/13. Some challenges of k-means-e2CdlG5P4WA.en.vtt |
601 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-Kn9v0KGDsvc.pt-BR.vtt |
601 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/11. Friend Count-gydx9-h1liU.en.vtt |
601 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.pt-BR.vtt |
602 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-U2yZxIeG2t0.ar.vtt |
602 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.th.vtt |
603 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/01. Multivariate Data-jsg6lhrJN1g.ar.vtt |
604 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.th.vtt |
604 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-TpVxnYcI_uw.en.vtt |
605 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.pt-BR.vtt |
606 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/12. Gather Import Solution-QnTPEAGXJaE.zh-CN.vtt |
606 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.ar.vtt |
607 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 03_Data Structures and Loops/01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.zh-CN.vtt |
607 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.es-ES.vtt |
608 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.ja.vtt |
608 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.ar.vtt |
608 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 06-Module 01-Lesson 01_Welcome to Term 2!/06. Introduction-fxNSn63xFvA.pt-BR.vtt |
608 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-TpVxnYcI_uw.pt-BR.vtt |
608 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/05. Introduction-fxNSn63xFvA.pt-BR.vtt |
608 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/10. Types of Data Quiz 6--LtbhZvwwM8.en.vtt |
609 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.zh-CN.vtt |
609 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-mdCk7Gwkd4g.zh-CN.vtt |
610 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.en.vtt |
610 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-CStZqZRe6Mk.en.vtt |
610 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-erdekkpG-Do.ja.vtt |
611 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.es-ES.vtt |
611 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/22. Unpacking NB Using Bayes Rule-lGREq530kfU.en.vtt |
611 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/01. Welcome!-rkWU07ZDYzA.zh-CN.vtt |
611 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/01. Communicating With Your Data-KDnca1zszIo.pt-BR.vtt |
612 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.en.vtt |
613 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-wJV1cRjmIYY.en.vtt |
613 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.zh-CN.vtt |
613 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-DLCq1-kOGX0.ja.vtt |
614 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.ar.vtt |
615 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.zh-CN.vtt |
616 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.zh-CN.vtt |
616 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/01. Communicating With Your Data-KDnca1zszIo.ar.vtt |
616 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.zh-CN.vtt |
616 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.zh-CN.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.en.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.ru.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.en.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.ja.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-CStZqZRe6Mk.en-US.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.pt-BR.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.en-US.vtt |
617 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.it.vtt |
618 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.pt-BR.vtt |
618 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.ja.vtt |
618 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/12. Congratulations!-sCQ7ZViODaw.zh-CN.vtt |
618 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-CStZqZRe6Mk.pt-BR.vtt |
618 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-OIxLJeZ_jNI.en.vtt |
619 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-hcGeA_0nru8.ja.vtt |
620 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/21. Conclusion-UFwgr6tLcuI.zh-CN.vtt |
620 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.pt-BR.vtt |
620 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/19. Congratulations!-_FPpbuuW-1o.pt-BR.vtt |
620 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-8SqL0v_FSsc.ar.vtt |
620 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.ja.vtt |
621 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/12. Which Data is Ready for PCA-JSVsHbGUuIE.en.vtt |
622 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-lJlS-Xdlu5o.ar.vtt |
622 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-5dt0N4XN-y4.zh-CN.vtt |
622 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.en.vtt |
622 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.zh-CN.vtt |
622 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.ar.vtt |
623 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.ja.vtt |
623 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-hcGeA_0nru8.zh-CN.vtt |
623 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-Njbmexuo7fo.en.vtt |
623 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.ar.vtt |
624 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.ar.vtt |
624 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.it.vtt |
625 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.ja.vtt |
625 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-cUhgZ2BnWq0.pt-BR.vtt |
626 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-erdekkpG-Do.zh-CN.vtt |
626 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.ar.vtt |
626 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-PYNWtLgtRfU.en.vtt |
626 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/10. Types of Data Quiz 6--LtbhZvwwM8.pt-BR.vtt |
627 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/17. Congratulations-GxhPaVbDHnw.zh-CN.vtt |
627 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.ja.vtt |
627 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-WxAO6ByCvew.ja.vtt |
628 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-gfZ7C-QBF0k.pt-BR.vtt |
628 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.en.vtt |
628 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-Njbmexuo7fo.pt-BR.vtt |
628 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/27. Analyzing Two Variables-NRMKNuox9z0.pt-BR.vtt |
629 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.zh-CN.vtt |
629 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.pt-BR.vtt |
629 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.es-ES.vtt |
629 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/22. Unpacking NB Using Bayes Rule-lGREq530kfU.pt-BR.vtt |
629 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-bRhdim9PTFI.pt-BR.vtt |
630 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-HNo0KSYM2b4.zh-CN.vtt |
630 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.en.vtt |
630 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-V-jzhJoeZj8.ar.vtt |
631 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/01. Welcome!-cCOHhYXU6G0.ar.vtt |
631 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/15. Transition to Using Naive Bayes-2_dJXh1qqe0.ja.vtt |
632 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-OrPlWwv19Jc.en-US.vtt |
632 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-5v1jxDIwGqk.ar.vtt |
632 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-swoZxkrxIB0.ja.vtt |
632 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/19. Exploring Data With Visuals-0i_9t4Wi0Og.zh-CN.vtt |
632 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.zh-CN.vtt |
633 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.en.vtt |
633 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-xSQTzAeeoEc.zh-CN.vtt |
633 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-QsWzjYigYB4.zh-CN.vtt |
633 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/12. Gather Import Solution-QnTPEAGXJaE.en.vtt |
634 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt |
634 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.th.vtt |
634 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.en.vtt |
635 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.ar.vtt |
635 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-bRhdim9PTFI.en.vtt |
635 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/07. How Does Your Algorithm Compare-B2KnUg5iz0Y.pt-BR.vtt |
636 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/16. Cleaning Data-AJF5smH1TJU.pt-BR.vtt |
636 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Coding inside the skeleton loop-MRPdqOwnqag.pt-BR.vtt |
636 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/02. Accuracy Review-g3sxDtlGlAM.en.vtt |
636 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-a2GCyz_N0oY.ja.vtt |
637 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.hr.vtt |
637 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 03_Data Structures and Loops/01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.en.vtt |
637 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/12. Congratulations!-sCQ7ZViODaw.pt-BR.vtt |
637 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-OrPlWwv19Jc.en.vtt |
638 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.zh-CN.vtt |
638 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-3FO2y4tlZ3A.pt-BR.vtt |
638 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.zh-CN.vtt |
639 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.en.vtt |
639 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-PYNWtLgtRfU.pt-BR.vtt |
639 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.ar.vtt |
640 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-k_mm11ePWpg.en.vtt |
640 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.hr.vtt |
640 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-hcGeA_0nru8.pt-BR.vtt |
641 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 02-Lesson 01_Gathering Data/07. Flat Files in Python -cUmcLjWgxwM.zh-CN.vtt |
641 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.pt-BR.vtt |
642 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/01. Welcome to SVM-gnAmmyQ_ZcQ.zh-CN.vtt |
643 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 03_Data Structures and Loops/01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.pt-BR.vtt |
643 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 2-so5zydnbYEg.zh-CN.vtt |
643 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.zh-CN.vtt |
643 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-XYHTuv2FpWQ.ar.vtt |
644 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.zh-CN.vtt |
644 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/25. Likes on the Web-stpXFmv_XrA.ja.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/05. Data Types Review-xzZZZCZk5YM.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download-a5o3ck1bxEs.zh-CN.vtt |
644 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-adXoa85rnPM.en.vtt |
644 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-k_mm11ePWpg.pt-BR.vtt |
644 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.en.vtt |
645 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/02. What Causes Outliers-W74CdB_pl5M.zh-CN.vtt |
645 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/11. Friend Count-gydx9-h1liU.pt-BR.vtt |
646 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.en.vtt |
646 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/27. Analyzing Two Variables-NRMKNuox9z0.ja.vtt |
646 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.pt-BR.vtt |
646 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ziYBjY1kTC8.ja.vtt |
647 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/05. Beware of Feature Bugs!-UjaFiRdHPZg.zh-CN.vtt |
649 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.zh-CN.vtt |
649 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.ar.vtt |
650 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.en.vtt |
650 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.ar.vtt |
650 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.zh-CN.vtt |
650 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.en.vtt |
651 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.en.vtt |
651 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-a2GCyz_N0oY.ar.vtt |
652 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.ar.vtt |
652 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-hcGeA_0nru8.en.vtt |
652 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/29. Analyzing One Variable-yqwCYeaQAl0.ar.vtt |
652 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.pt-BR.vtt |
652 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/02. Accuracy Review-g3sxDtlGlAM.pt-BR.vtt |
652 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-OIxLJeZ_jNI.ja.vtt |
653 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.pt-BR.vtt |
653 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.th.vtt |
653 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.en.vtt |
653 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.th.vtt |
654 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-OrPlWwv19Jc.pt-BR.vtt |
654 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.ar.vtt |
654 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/12. Order of Operations in Text Processing-Fi3uuGj8bhs.zh-CN.vtt |
655 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.en.vtt |
655 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-QsWzjYigYB4.ja.vtt |
655 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/12. Which Data is Ready for PCA-JSVsHbGUuIE.pt-BR.vtt |
655 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.en.vtt |
655 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.es-ES.vtt |
656 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.it.vtt |
656 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line---Pc1ASVjmM.zh-CN.vtt |
656 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.ar.vtt |
656 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/21. Conclusion-UFwgr6tLcuI.en.vtt |
656 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/21. Model Problems-Och80L_uNjU.zh-CN.vtt |
656 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.th.vtt |
657 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.ja.vtt |
657 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.en.vtt |
658 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/25. Likes on the Web-stpXFmv_XrA.en.vtt |
658 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-j2SP83afRS0.en.vtt |
658 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/12. Congratulations!-sCQ7ZViODaw.en.vtt |
658 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.zh-CN.vtt |
658 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-WDADret_QqE.ar.vtt |
658 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/09. Supervised Learning w Continuous Output-F7PIJM0q524.pt-BR.vtt |
660 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.pt-BR.vtt |
660 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download Solution-SDqdLhgsBNc.zh-CN.vtt |
660 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/23. Bayes Rule-1biLtViOQDc.en.vtt |
660 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-3FO2y4tlZ3A.en.vtt |
660 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 02-Lesson 01_Gathering Data/07. Flat Files in Python -cUmcLjWgxwM.en.vtt |
660 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/02. What Causes Outliers-W74CdB_pl5M.pt-BR.vtt |
661 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.ja.vtt |
661 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/13. Date Quality Dimensions 2 -aEGtqoWIJIc.zh-CN.vtt |
661 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-bxDutNyYKjE.ar.vtt |
662 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.hr.vtt |
662 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.ar.vtt |
662 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.ar.vtt |
662 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-i6zv8vyZBk0.zh-CN.vtt |
662 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-0PFq8zoaNWU.ar.vtt |
662 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 14-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.en.vtt |
663 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.ar.vtt |
663 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.en.vtt |
663 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-znlTyocTgSc.zh-CN.vtt |
664 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/06. Where to use training vs. testing data 3-o7LnSu0CEb4.en.vtt |
664 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.zh-CN.vtt |
664 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-mpYpT6nZVEo.zh-CN.vtt |
665 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.es-ES.vtt |
665 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.ar.vtt |
665 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-xSQTzAeeoEc.en.vtt |
665 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-hqO8kxRJdd4.ar.vtt |
665 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-I_v6ueT0k3M.en.vtt |
666 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/09. Supervised Learning w Continuous Output-F7PIJM0q524.en.vtt |
666 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.th.vtt |
667 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.zh-CN.vtt |
668 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-mdCk7Gwkd4g.en.vtt |
668 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-rexAHoCGFMs.en.vtt |
668 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/15. Transition to Using Naive Bayes-2_dJXh1qqe0.ar.vtt |
669 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.ja.vtt |
669 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-DLCq1-kOGX0.ar.vtt |
669 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.ar.vtt |
670 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.zh-CN.vtt |
670 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.es-ES.vtt |
671 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.it.vtt |
671 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.es-ES.vtt |
671 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-wJV1cRjmIYY.pt-BR.vtt |
671 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-udJvijJvs1M.zh-CN.vtt |
672 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-xSQTzAeeoEc.pt-BR.vtt |
672 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-mdCk7Gwkd4g.pt-BR.vtt |
673 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.zh-CN.vtt |
673 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.ar.vtt |
673 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/25. Communicating Results-tmAlVZCbgFA.ar.vtt |
673 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.pt-BR.vtt |
673 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.zh-CN.vtt |
675 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-Lb_v4vj3TNs.ar.vtt |
675 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.en.vtt |
675 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.ar.vtt |
675 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 14-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.zh-CN.vtt |
675 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-GMe5JT2_oUE.en.vtt |
675 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.zh-CN.vtt |
676 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/17. Congratulations-GxhPaVbDHnw.en.vtt |
677 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/09. Getting Stopwords from NLTK-R0RqC-yerD4.ar.vtt |
677 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 02-Lesson 01_Gathering Data/07. Flat Files in Python -cUmcLjWgxwM.pt-BR.vtt |
677 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.th.vtt |
677 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-c1gvsNx_ypg.zh-CN.vtt |
677 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-9O7cJSP4C8w.zh-CN.vtt |
677 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/17. Congratulations-GxhPaVbDHnw.pt-BR.vtt |
678 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt |
678 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.es-ES.vtt |
679 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.ar.vtt |
679 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/01. Welcome!-rkWU07ZDYzA.en.vtt |
679 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.es-ES.vtt |
679 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.pt-BR.vtt |
680 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-lS5DfbsWH34.zh-CN.vtt |
680 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.es-ES.vtt |
681 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.en.vtt |
682 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.es-ES.vtt |
682 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-wJV1cRjmIYY.ar.vtt |
682 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 2-so5zydnbYEg.en.vtt |
682 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.en.vtt |
682 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.ar.vtt |
683 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/22. A Bigger, Better Data Set-uj6bLK91ZQI.zh-CN.vtt |
683 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/09. Confusion Matrix False Alarms-611qWzIxGmU.ar.vtt |
683 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.pt-BR.vtt |
683 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.ar.vtt |
684 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.pt-BR.vtt |
684 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.ar.vtt |
684 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.ar.vtt |
684 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/27. Analyzing Two Variables-NRMKNuox9z0.en.vtt |
685 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-f_SBhjbfmPw.ar.vtt |
685 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-TbT6a6qaj08.en.vtt |
685 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.pt-BR.vtt |
686 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.es-ES.vtt |
686 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.pt-BR.vtt |
687 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.pt-BR.vtt |
688 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-xYxD4GD1woo.zh-CN.vtt |
688 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-adXoa85rnPM.pt-BR.vtt |
688 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 01_Numbers and Strings/12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.zh-CN.vtt |
688 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-HNo0KSYM2b4.pt-BR.vtt |
690 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.en.vtt |
690 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.hr.vtt |
690 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-5dt0N4XN-y4.pt-BR.vtt |
691 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.pt-BR.vtt |
691 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.pt-BR.vtt |
692 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/19. User Ages-BmGqdHagFQk.zh-CN.vtt |
692 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.pt-BR.vtt |
692 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/04. Where to use training vs. testing data 1-z2R5CqjXrkA.en.vtt |
692 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 01_Introduction and Efficiency/04. Syntax-08M93RaBSgU.zh-CN.vtt |
692 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/20. You Can Iterate-ZU8EnPbR-pk.pt-BR.vtt |
693 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 01_Numbers and Strings/12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.pt-BR.vtt |
693 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/05. Data Types Review-xzZZZCZk5YM.ar.vtt |
693 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-6ufIq2nrTwg.ar.vtt |
694 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-IC47yHGmgMk.zh-CN.vtt |
694 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.pt-BR.vtt |
694 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.pt-BR.vtt |
695 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.pt-BR.vtt |
695 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.it.vtt |
695 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-GMe5JT2_oUE.pt-BR.vtt |
696 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-j2SP83afRS0.pt-BR.vtt |
696 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.pt-BR.vtt |
696 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.it.vtt |
697 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-oWyt6md7P44.ar.vtt |
697 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-L6J6BRFgDiI.pt-BR.vtt |
697 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/01. Welcome!-rkWU07ZDYzA.pt-BR.vtt |
698 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.zh-CN.vtt |
698 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.zh-CN.vtt |
698 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-q_zfkCwRg1w.zh-CN.vtt |
698 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/02. What Causes Outliers-W74CdB_pl5M.en.vtt |
699 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.pt-BR.vtt |
699 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/12. Gather Import Solution-QnTPEAGXJaE.pt-BR.vtt |
700 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.th.vtt |
700 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.ja.vtt |
701 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-rexAHoCGFMs.pt-BR.vtt |
701 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-PRjmvj6Vubs.zh-CN.vtt |
701 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/06. Where to use training vs. testing data 3-o7LnSu0CEb4.pt-BR.vtt |
701 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-daVA3PI2E6o.zh-CN.vtt |
701 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.zh-CN.vtt |
701 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.pt-BR.vtt |
702 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-UeSD19oit_w.en.vtt |
702 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.it.vtt |
702 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-gfZ7C-QBF0k.ar.vtt |
703 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-EPrrQaYp7H0.zh-CN.vtt |
703 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/20. You Can Iterate-ZU8EnPbR-pk.zh-CN.vtt |
703 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.zh-CN.vtt |
704 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-Bw6sYY84cYg.zh-CN.vtt |
704 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 02_Design/22. Onwards!-i-ulsdVHhCc.ar.vtt |
704 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.en.vtt |
704 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt |
705 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-PlFG87qPSB4.en.vtt |
705 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.pt-BR.vtt |
705 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.ar.vtt |
706 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 14-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.es-MX.vtt |
707 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.zh-CN.vtt |
707 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-TbT6a6qaj08.pt-BR.vtt |
707 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/19. User Ages-BmGqdHagFQk.ja.vtt |
708 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.zh-CN.vtt |
708 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-GMe5JT2_oUE.ja.vtt |
708 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.ja.vtt |
708 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-udJvijJvs1M.en.vtt |
709 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-EPrrQaYp7H0.en.vtt |
709 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.ja.vtt |
710 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/23. Bayes Rule-1biLtViOQDc.pt-BR.vtt |
711 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/09. Second Principal Component Of New System-cTjBlM2ATLQ.ar.vtt |
711 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/13. Feature Scaling Mini-Project Video-e6zbTFctnJU.zh-CN.vtt |
711 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.it.vtt |
712 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.zh-CN.vtt |
713 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-cUhgZ2BnWq0.ar.vtt |
713 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/09. L4_Mini Project-CGPO68cOCgc.ar.vtt |
713 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.en.vtt |
714 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.en.vtt |
715 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.pl.vtt |
715 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.en.vtt |
715 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 03_SQL Aggregations/09. MIN MAX-1ewVsgWUih8.zh-CN.vtt |
715 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-UeSD19oit_w.pt-BR.vtt |
716 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.ja.vtt |
716 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.ar.vtt |
717 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.ja.vtt |
717 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.th.vtt |
717 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/19. Exploring Data With Visuals-0i_9t4Wi0Og.en.vtt |
717 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-I_v6ueT0k3M.pt-BR.vtt |
717 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/25. Likes on the Web-stpXFmv_XrA.pt-BR.vtt |
717 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-QsWzjYigYB4.en.vtt |
717 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/13. Date Quality Dimensions 2 -aEGtqoWIJIc.en.vtt |
719 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-Kn9v0KGDsvc.ar.vtt |
719 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.en.vtt |
720 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-WxAWorS2SLg.zh-CN.vtt |
720 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-5dt0N4XN-y4.en.vtt |
722 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-cUlEryXX9BM.zh-CN.vtt |
722 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/16. Cleaning Data-AJF5smH1TJU.ar.vtt |
722 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-ov--BE6XTZU.zh-CN.vtt |
723 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/16. Outro-dps7Ti6Lado.zh-CN.vtt |
723 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.th.vtt |
723 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.zh-CN.vtt |
724 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-Jbqf8OBORDg.ar.vtt |
726 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.ar.vtt |
726 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.ar.vtt |
727 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/22. Unpacking NB Using Bayes Rule-lGREq530kfU.ja.vtt |
727 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.es-ES.vtt |
728 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-EPrrQaYp7H0.pt-BR.vtt |
728 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.pt-BR.vtt |
728 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-L6J6BRFgDiI.en.vtt |
728 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download Solution-SDqdLhgsBNc.en.vtt |
728 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.es-ES.vtt |
729 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/21. Model Problems-Och80L_uNjU.en.vtt |
729 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.th.vtt |
729 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.ja.vtt |
730 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.ar.vtt |
731 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.ar.vtt |
731 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/14. On to the Validation Mini-Project-JEK7-ocWu0M.zh-CN.vtt |
732 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-HNo0KSYM2b4.en.vtt |
732 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/04. Where to use training vs. testing data 1-z2R5CqjXrkA.pt-BR.vtt |
733 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-O0bvLU4l0is.zh-CN.vtt |
733 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.en.vtt |
734 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-HNo0KSYM2b4.ja.vtt |
735 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.pt-BR.vtt |
735 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.pt-BR.vtt |
735 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.pt-BR.vtt |
736 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 15_Multiple Linear Regression/26. Recap-VM6GGNC2q8I.zh-CN.vtt |
736 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-i6zv8vyZBk0.pt-BR.vtt |
736 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-q_zfkCwRg1w.en.vtt |
736 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.en.vtt |
736 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/01. Introduction-2Y279421n3A.zh-CN.vtt |
736 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 2-so5zydnbYEg.pt-BR.vtt |
737 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.pt-BR.vtt |
737 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-9O7cJSP4C8w.pt-BR.vtt |
737 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.en.vtt |
738 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.ar.vtt |
738 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-sCZI5gWS6mg.pt-BR.vtt |
739 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-GD9Bpjm31co.ar.vtt |
739 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/19. Congratulations!-_FPpbuuW-1o.zh-CN.vtt |
741 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.es-ES.vtt |
741 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.pt-BR.vtt |
741 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.ar.vtt |
741 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/20. You Can Iterate-ZU8EnPbR-pk.en.vtt |
742 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 11_Confidence Intervals/16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.zh-CN.vtt |
742 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/03. Scatterplots-ZcavaOLXPSs.zh-CN.vtt |
742 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.it.vtt |
742 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 05_Trees/01. Trees-PXie7f22v2Q.zh-CN.vtt |
742 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/11. Plotting It All Together-Y4rUkaYQQKI.zh-CN.vtt |
743 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-PlFG87qPSB4.pt-BR.vtt |
743 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-R6oIvdBtsZw.zh-CN.vtt |
744 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt |
745 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.pt-BR.vtt |
745 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.zh-CN.vtt |
745 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.ar.vtt |
745 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-QsWzjYigYB4.pt-BR.vtt |
746 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.es-ES.vtt |
746 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.zh-CN.vtt |
746 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.pt-BR.vtt |
746 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.es-ES.vtt |
746 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download Solution-SDqdLhgsBNc.pt-BR.vtt |
746 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-9O7cJSP4C8w.en.vtt |
747 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-n7gp8USw0Jw.ar.vtt |
747 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.pt-BR.vtt |
747 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-L6J6BRFgDiI.zh-CN.vtt |
747 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-q_zfkCwRg1w.pt-BR.vtt |
747 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.ar.vtt |
747 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 01_What is EDA/07. The Growth of Televisions-r5qca6q4Fn4.zh-CN.vtt |
747 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.es-ES.vtt |
748 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.hr.vtt |
748 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-_HWtxJRaawA.zh-CN.vtt |
748 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.ja.vtt |
748 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-TEAGqUkQVdM.zh-CN.vtt |
748 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature--_jNi_5zEEQ.zh-CN.vtt |
749 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/13. Date Quality Dimensions 2 -aEGtqoWIJIc.pt-BR.vtt |
749 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/01. Introduction-SvdlBB-ZjcQ.zh-CN.vtt |
750 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 14_Regression/21. Recap-DzMi27LI5l4.zh-CN.vtt |
750 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-J0IqMgkl1Ws.zh-CN.vtt |
750 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 06-Module 01-Lesson 01_Welcome to Term 2!/06. Introduction-fxNSn63xFvA.ar.vtt |
751 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/05. Beware of Feature Bugs!-UjaFiRdHPZg.en.vtt |
751 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/05. Introduction-fxNSn63xFvA.ar.vtt |
751 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.zh-CN.vtt |
751 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-hcGeA_0nru8.ar.vtt |
751 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.ar.vtt |
752 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-gbkORDbJM50.zh-CN.vtt |
752 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.zh-CN.vtt |
752 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.en.vtt |
752 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.pt-BR.vtt |
753 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.pt-BR.vtt |
753 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-VERLCqDewrM.zh-CN.vtt |
754 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.en.vtt |
754 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Coding inside the skeleton loop-MRPdqOwnqag.ar.vtt |
755 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-daVA3PI2E6o.en.vtt |
756 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.en.vtt |
756 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line---Pc1ASVjmM.en.vtt |
756 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-c1gvsNx_ypg.en.vtt |
757 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.es-ES.vtt |
757 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-sCZI5gWS6mg.en.vtt |
757 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/22. A Bigger, Better Data Set-uj6bLK91ZQI.en.vtt |
757 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/05. Beware of Feature Bugs!-UjaFiRdHPZg.pt-BR.vtt |
758 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-sCZI5gWS6mg.ja.vtt |
758 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.zh-CN.vtt |
759 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line---Pc1ASVjmM.en-US.vtt |
759 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.en.vtt |
759 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 14-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.pt-BR.vtt |
760 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.ja.vtt |
760 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-O5B-Z5SUoc8.ar.vtt |
761 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.en-US.vtt |
761 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/11. Slope and Intercept-Ksn1g5fCe1I.zh-CN.vtt |
761 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.pt-BR.vtt |
761 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.zh-CN.vtt |
761 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.ja.vtt |
762 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download-a5o3ck1bxEs.en.vtt |
763 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.zh-CN.vtt |
763 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-TIs9j-QITxw.zh-CN.vtt |
763 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.en.vtt |
763 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-EPrrQaYp7H0.ja.vtt |
763 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.it.vtt |
764 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/25. Algorithms for Minimizing Squared Errors-Dw_9Dp6wcJ8.zh-CN.vtt |
764 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.ar.vtt |
765 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.pt-PT.vtt |
765 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/11. Plotting It All Together-Y4rUkaYQQKI.ja.vtt |
765 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-udJvijJvs1M.pt-BR.vtt |
765 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-VERLCqDewrM.en.vtt |
766 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-xYxD4GD1woo.pt-BR.vtt |
766 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 01_Numbers and Strings/12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.en.vtt |
766 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.it.vtt |
767 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 01_Introduction and Efficiency/04. Syntax-08M93RaBSgU.en.vtt |
767 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.th.vtt |
768 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.ar.vtt |
768 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-R6oIvdBtsZw.en.vtt |
768 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.pt-BR.vtt |
769 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt |
769 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/24. Minimizing Sum of Squared Errors-E1XzT619Eug.zh-CN.vtt |
769 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/12. Which Data is Ready for PCA-JSVsHbGUuIE.ar.vtt |
769 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 01_Introduction and Efficiency/04. Syntax-08M93RaBSgU.en-US.vtt |
770 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-mpYpT6nZVEo.en.vtt |
770 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-znlTyocTgSc.en.vtt |
770 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete--uRSI_oybJQ.pt-BR.vtt |
770 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-k_mm11ePWpg.ar.vtt |
770 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/01. Welcome to SVM-gnAmmyQ_ZcQ.en.vtt |
770 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-lS5DfbsWH34.en.vtt |
772 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.th.vtt |
772 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-znlTyocTgSc.pt-BR.vtt |
772 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.en.vtt |
772 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-xeMDpSRTLWc.en.vtt |
773 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-Njbmexuo7fo.ar.vtt |
773 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/11. Plotting It All Together-Y4rUkaYQQKI.pt-BR.vtt |
773 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-R6oIvdBtsZw.pt-BR.vtt |
773 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-xeMDpSRTLWc.zh-CN.vtt |
773 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-TpVxnYcI_uw.ar.vtt |
774 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ziYBjY1kTC8.ar.vtt |
774 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.pt-BR.vtt |
774 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/09. Data Types Summary-T-KrQoAJUpI.zh-CN.vtt |
775 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/08. Principal Axis of New Coordinate System-i6zv8vyZBk0.en.vtt |
775 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.pt-BR.vtt |
775 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.es-ES.vtt |
775 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-OIxLJeZ_jNI.ar.vtt |
777 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.th.vtt |
777 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.es-ES.vtt |
777 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/16. Outro-dps7Ti6Lado.en.vtt |
777 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/14. Friendships Initiated-tNKpdmXj6gg.zh-CN.vtt |
778 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/12. Order of Operations in Text Processing-Fi3uuGj8bhs.en.vtt |
778 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-osn2fVnCVgQ.zh-CN.vtt |
778 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-lfZg7j5W7u8.zh-CN.vtt |
778 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-dGS0SKu1ox0.zh-CN.vtt |
779 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.th.vtt |
779 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/14. Analyzing Multiple Metrics-DtZghKNa7Ak.pt-BR.vtt |
780 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-4qJwfAWG_wQ.zh-CN.vtt |
780 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.zh-CN.vtt |
780 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-lS5DfbsWH34.pt-BR.vtt |
781 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete--uRSI_oybJQ.zh-CN.vtt |
781 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/19. Congratulations!-_FPpbuuW-1o.en.vtt |
781 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.en.vtt |
782 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/21. Conclusion-UFwgr6tLcuI.pt-BR.vtt |
783 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-L6J6BRFgDiI.ja.vtt |
783 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.ar.vtt |
783 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-aj_QpA9GygI.zh-CN.vtt |
783 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/01. Outliers in Regression-_IetITlJpIs.zh-CN.vtt |
783 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-erdekkpG-Do.ar.vtt |
783 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/12. What Can You Create In Tableau-gNqIvf5iJA8.zh-CN.vtt |
784 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/17. Composite Features-0ZBp8oWySAc.ar.vtt |
784 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/01. Lesson Overview-2X8GJyZUlDo.zh-CN.vtt |
785 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt |
785 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.ar.vtt |
787 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.en.vtt |
787 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.zh-CN.vtt |
787 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.zh-CN.vtt |
787 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-Bw6sYY84cYg.en.vtt |
787 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download-a5o3ck1bxEs.pt-BR.vtt |
788 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.en.vtt |
789 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/12. Gather Import Solution-QnTPEAGXJaE.ar.vtt |
790 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.en.vtt |
790 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.en.vtt |
790 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/03. Outlier Selection-zTI5Ci5WWzM.pt-BR.vtt |
790 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 16_Tying It All Together/03. End of Content-MFRkl-aXL8I.zh-CN.vtt |
791 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 14-Module 03-Lesson 01_Craft Your Cover Letter/06. Write the Conclusion-i3ozyhGPmIg.en.vtt |
791 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.hr.vtt |
792 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-J0IqMgkl1Ws.en.vtt |
792 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.pt-BR.vtt |
792 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-aj_QpA9GygI.ja.vtt |
792 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-cUlEryXX9BM.en.vtt |
793 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-FY9_6rOPk6c.zh-CN.vtt |
793 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-swoZxkrxIB0.ar.vtt |
793 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/21. Model Problems-Och80L_uNjU.pt-BR.vtt |
794 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/19. Exploring Data With Visuals-0i_9t4Wi0Og.pt-BR.vtt |
794 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-bRhdim9PTFI.ar.vtt |
794 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-WxAWorS2SLg.en.vtt |
797 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-EllzeBecnkU.zh-CN.vtt |
797 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/01. Welcome to SVM-gnAmmyQ_ZcQ.pt-BR.vtt |
797 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.it.vtt |
797 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.pt-BR.vtt |
797 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-gbkORDbJM50.pt-BR.vtt |
798 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.en.vtt |
798 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-gbkORDbJM50.en.vtt |
798 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/25. Congratulations and Next Steps-ph4p8n-I7vw.ar.vtt |
799 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-c-pfYggUsdQ.zh-CN.vtt |
799 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.ar.vtt |
799 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.en.vtt |
799 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.pt-BR.vtt |
800 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/15. From Four Features to Two-xJtmPbEfpFo.zh-CN.vtt |
801 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.ar.vtt |
802 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-daVA3PI2E6o.pt-BR.vtt |
802 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/23. Predictions-hW_1ASU-j8A.zh-CN.vtt |
802 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.pt-BR.vtt |
802 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-ov--BE6XTZU.en.vtt |
803 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/01. Lesson Overview-2X8GJyZUlDo.en.vtt |
803 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.en-GB.vtt |
804 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-PRjmvj6Vubs.en.vtt |
804 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-OrPlWwv19Jc.ar.vtt |
805 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.ja.vtt |
805 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-IC47yHGmgMk.pt-BR.vtt |
806 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-Kst3mlrqJnQ.zh-CN.vtt |
806 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-ov--BE6XTZU.ja.vtt |
806 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt |
806 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.ar.vtt |
807 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/11. Plotting It All Together-Y4rUkaYQQKI.en.vtt |
808 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-IC47yHGmgMk.en.vtt |
808 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/03. Outlier Selection-zTI5Ci5WWzM.zh-CN.vtt |
808 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-xeMDpSRTLWc.pt-BR.vtt |
809 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.pt-BR.vtt |
810 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 02-Lesson 01_Gathering Data/07. Flat Files in Python -cUmcLjWgxwM.ar.vtt |
810 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-yhzQ_HJcwn8.zh-CN.vtt |
810 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/22. A Bigger, Better Data Set-uj6bLK91ZQI.pt-BR.vtt |
810 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/14. Friendships Initiated-tNKpdmXj6gg.en.vtt |
810 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-TIs9j-QITxw.en.vtt |
810 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/01. Lesson Overview-DkjRzNwjSfo.zh-CN.vtt |
811 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-J0IqMgkl1Ws.pt-BR.vtt |
811 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-_kmNXcYlrco.en.vtt |
811 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt |
812 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-_kmNXcYlrco.zh-CN.vtt |
812 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-bgT8sWuV2lc.zh-CN.vtt |
812 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-4Fkfu37el_k.zh-CN.vtt |
812 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-bgT8sWuV2lc.zh-CN.vtt |
812 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature--_jNi_5zEEQ.ja.vtt |
812 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-c-pfYggUsdQ.pt-BR.vtt |
812 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/21. Model Problems-Och80L_uNjU.ja.vtt |
813 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.th.vtt |
813 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.ja.vtt |
813 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature--_jNi_5zEEQ.en.vtt |
813 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-_TJeoCTDykE.zh-CN.vtt |
814 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/37. Congrats on Learning Naive Bayes-nQsYfzO7-00.zh-CN.vtt |
814 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/19. User Ages-BmGqdHagFQk.en.vtt |
815 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/22. A Bigger, Better Data Set-uj6bLK91ZQI.ja.vtt |
816 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-aj_QpA9GygI.en.vtt |
816 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.ar.vtt |
816 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-CStZqZRe6Mk.ar.vtt |
816 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/22. Unpacking NB Using Bayes Rule-lGREq530kfU.ar.vtt |
816 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/01. Welcome To Decision Trees-5eAHVk1-Hz0.zh-CN.vtt |
817 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.es-ES.vtt |
817 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.zh-CN.vtt |
817 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/13. Correlation on Subsets-BbBaLbDoPBY.zh-CN.vtt |
817 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 01_Introduction and Efficiency/04. Syntax-08M93RaBSgU.pt-BR.vtt |
817 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-xYxD4GD1woo.en.vtt |
817 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/26. Evaluation Mini-Project Video-s13K9G1VaWM.zh-CN.vtt |
818 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-aj_QpA9GygI.en-US.vtt |
818 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/14. Friendships Initiated-tNKpdmXj6gg.ja.vtt |
818 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-K4gGK4ScT7M.zh-CN.vtt |
818 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.en.vtt |
818 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.ar.vtt |
819 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.ja.vtt |
819 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/23. Bayes Rule-1biLtViOQDc.ja.vtt |
820 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-UeSD19oit_w.ar.vtt |
820 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-O0bvLU4l0is.en.vtt |
820 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.en.vtt |
821 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/14. On to the Validation Mini-Project-JEK7-ocWu0M.en.vtt |
821 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.ar.vtt |
822 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.es-ES.vtt |
823 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 03_SQL Aggregations/09. MIN MAX-1ewVsgWUih8.en.vtt |
824 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-_kmNXcYlrco.en-US.vtt |
825 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.pt-BR.vtt |
825 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.en.vtt |
826 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.en.vtt |
826 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-_TJeoCTDykE.pt-BR.vtt |
826 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.zh-CN.vtt |
827 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/14. Adjusting the Bin Width-VyYQPDw7w3Y.ja.vtt |
827 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.en.vtt |
828 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/09. Data Types Summary-T-KrQoAJUpI.en.vtt |
828 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.ja.vtt |
828 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.zh-CN.vtt |
828 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/12. Congratulations!-sCQ7ZViODaw.ar.vtt |
828 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-c1gvsNx_ypg.pt-BR.vtt |
828 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/06. coord_trans()-sQe7vTeO0yU.zh-CN.vtt |
829 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.pt-BR.vtt |
829 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.ar.vtt |
829 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-aj_QpA9GygI.pt-BR.vtt |
830 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-mpYpT6nZVEo.pt-BR.vtt |
830 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/03. Scatterplots-ZcavaOLXPSs.ja.vtt |
830 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/21. Clean Code 1 Solution -Noykh9Zt6aI.zh-CN.vtt |
830 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-WxAO6ByCvew.ar.vtt |
830 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/08. Faceting-x4V3IyECIN4.zh-CN.vtt |
830 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-z2rZndd-cdc.zh-CN.vtt |
831 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/13. Feature Scaling Mini-Project Video-e6zbTFctnJU.pt-BR.vtt |
832 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 14-Module 03-Lesson 01_Craft Your Cover Letter/06. Write the Conclusion-i3ozyhGPmIg.es-MX.vtt |
832 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.it.vtt |
832 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.pt-BR.vtt |
834 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/24. Noise in Conditional Means-GKXB5Qjlxo0.zh-CN.vtt |
834 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-_HWtxJRaawA.ja.vtt |
834 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.ja.vtt |
835 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/27. Analyzing Two Variables-NRMKNuox9z0.ar.vtt |
835 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/01. Introduction-2Y279421n3A.en.vtt |
836 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.en.vtt |
836 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.ar.vtt |
836 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.es-ES.vtt |
837 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.ar.vtt |
837 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.pt-BR.vtt |
837 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/03. Scatterplots-ZcavaOLXPSs.en.vtt |
837 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/13. Feature Scaling Mini-Project Video-e6zbTFctnJU.en.vtt |
837 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/26. SVM Mini-Project Video-mENzEtsiOmI.zh-CN.vtt |
837 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.it.vtt |
837 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/11. Friend Count-gydx9-h1liU.ar.vtt |
838 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.ar.vtt |
838 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-TIs9j-QITxw.pt-BR.vtt |
839 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.en.vtt |
839 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/14. Adjusting the Bin Width-VyYQPDw7w3Y.zh-CN.vtt |
839 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-_HWtxJRaawA.en.vtt |
840 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-VERLCqDewrM.pt-BR.vtt |
840 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-xSQTzAeeoEc.ar.vtt |
841 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/13. Two Coins 3-GO6kbL3QRBE.ja.vtt |
841 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-yH2wQQt-Rjo.zh-CN.vtt |
842 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-tUeaXXT2oDI.zh-CN.vtt |
842 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.ar.vtt |
842 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-znlTyocTgSc.ja.vtt |
842 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-EllzeBecnkU.en.vtt |
843 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.ar.vtt |
844 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-J0IqMgkl1Ws.ja.vtt |
845 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.ar.vtt |
845 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 01_What is EDA/07. The Growth of Televisions-r5qca6q4Fn4.pt-BR.vtt |
845 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/10. Decision Tree Parameters-Is5T4alCCGQ.zh-CN.vtt |
845 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.es-ES.vtt |
845 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.ja.vtt |
846 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-PYNWtLgtRfU.ar.vtt |
846 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-TEAGqUkQVdM.en.vtt |
846 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-wIXO77zyVxs.ja.vtt |
847 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.ar.vtt |
847 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/03. Outlier Selection-zTI5Ci5WWzM.en.vtt |
847 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 03_SQL Aggregations/09. MIN MAX-1ewVsgWUih8.pt-BR.vtt |
847 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-wIXO77zyVxs.zh-CN.vtt |
847 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.pt-BR.vtt |
848 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.zh-CN.vtt |
848 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 04-Lesson 01_Cleaning Data/18. You Can Iterate -CDRmFJHywp8.en.vtt |
849 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/01. Case Study Introduction-r8uEDyBylHY.zh-CN.vtt |
849 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-ov--BE6XTZU.pt-BR.vtt |
849 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/14. On to the Validation Mini-Project-JEK7-ocWu0M.pt-BR.vtt |
850 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-PRQDaHphZhw.zh-CN.vtt |
850 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-j2SP83afRS0.ar.vtt |
850 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.es-ES.vtt |
850 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.ar.vtt |
850 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.ar.vtt |
851 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/08. Faceting-x4V3IyECIN4.ja.vtt |
851 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/14. Performance Tuning Motivation-aY4_uYWEuoE.zh-CN.vtt |
852 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-PRjmvj6Vubs.pt-BR.vtt |
853 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-gbkORDbJM50.ja.vtt |
853 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.hr.vtt |
854 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/28. Conclusion-xYqxZQmXCdI.zh-CN.vtt |
854 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/07. How Does Your Algorithm Compare-B2KnUg5iz0Y.ar.vtt |
854 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-4Fkfu37el_k.en.vtt |
855 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-cUlEryXX9BM.pt-BR.vtt |
855 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/15. Bias Variance Trade off Revisited-GGCzMmOpQqQ.zh-CN.vtt |
855 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-4Fkfu37el_k.pt-BR.vtt |
856 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.en.vtt |
856 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 11_Text Learning/12. Order of Operations in Text Processing-Fi3uuGj8bhs.pt-BR.vtt |
856 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-_kmNXcYlrco.pt-BR.vtt |
857 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/13. Exploring with Bin Width-TYN_LGAV3m8.zh-CN.vtt |
857 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 01_What is EDA/07. The Growth of Televisions-r5qca6q4Fn4.en.vtt |
857 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-4qJwfAWG_wQ.en.vtt |
857 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-qnfVoUChRlQ.zh-CN.vtt |
858 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/19. Lasso Coefficients with sklearn Quiz-nu2OKJwDvvE.zh-CN.vtt |
859 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/05. Overplotting-qX2W99WrP0k.zh-CN.vtt |
860 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/25. Algorithms for Minimizing Squared Errors-Dw_9Dp6wcJ8.en.vtt |
861 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/14. Friendships Initiated-tNKpdmXj6gg.pt-BR.vtt |
861 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-L6J6BRFgDiI.ar.vtt |
861 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.ar.vtt |
861 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/14. Adjusting the Bin Width-VyYQPDw7w3Y.pt-BR.vtt |
861 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.zh-CN.vtt |
862 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/07. Getting Rid of Features-JZx1Pyzuo_s.zh-CN.vtt |
862 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 14-Module 03-Lesson 01_Craft Your Cover Letter/06. Write the Conclusion-i3ozyhGPmIg.pt-BR.vtt |
862 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/07. Traveling Salesman Problem-9ruR5Ux63QU.zh-CN.vtt |
862 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.zh-CN.vtt |
862 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/19. User Ages-BmGqdHagFQk.pt-BR.vtt |
863 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-3FO2y4tlZ3A.ar.vtt |
863 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/05. Thinking in Ratios-r4ZOwz3_oXs.zh-CN.vtt |
863 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.pt-BR.vtt |
864 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/25. Likes on the Web-stpXFmv_XrA.ar.vtt |
864 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-adXoa85rnPM.ar.vtt |
865 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-c-pfYggUsdQ.en.vtt |
865 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.pt-BR.vtt |
866 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.it.vtt |
866 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-bgT8sWuV2lc.pt-BR.vtt |
867 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-bgT8sWuV2lc.pt-BR.vtt |
867 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/08. Faceting-x4V3IyECIN4.pt-BR.vtt |
867 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.en.vtt |
868 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/23. Bayes Rule-1biLtViOQDc.ar.vtt |
868 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.en-GB.vtt |
868 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/02. Accuracy Review-g3sxDtlGlAM.ar.vtt |
869 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 3-oVGmi4zBOT8.zh-CN.vtt |
869 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/37. Congrats on Learning Naive Bayes-nQsYfzO7-00.pt-BR.vtt |
869 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.es-ES.vtt |
870 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/11. Enron Dataset Mini-Project Video-0zGp5er3fy4.zh-CN.vtt |
870 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-tEU11PXloLU.zh-CN.vtt |
870 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete--uRSI_oybJQ.en.vtt |
871 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/06. coord_trans()-sQe7vTeO0yU.ja.vtt |
871 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.ja.vtt |
872 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/03. Scatterplots-ZcavaOLXPSs.pt-BR.vtt |
872 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/09. Supervised Learning w Continuous Output-F7PIJM0q524.ar.vtt |
872 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature--_jNi_5zEEQ.pt-BR.vtt |
873 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-daVA3PI2E6o.ja.vtt |
874 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/13. Correlation on Subsets-BbBaLbDoPBY.ja.vtt |
874 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/13. Exploring with Bin Width-TYN_LGAV3m8.ja.vtt |
874 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.en.vtt |
874 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 06_Datasets and Questions/10. Types of Data Quiz 6--LtbhZvwwM8.ar.vtt |
874 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-dGS0SKu1ox0.en.vtt |
874 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/02. Download Tableau Public-2bXsg6SKHG8.en.vtt |
875 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-Bw6sYY84cYg.pt-BR.vtt |
876 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/17. Conclusion-D_ioSXAre1A.zh-CN.vtt |
876 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/10. Cut a Variable-PHJiH5WCBwg.zh-CN.vtt |
876 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/05. Thinking in Ratios-r4ZOwz3_oXs.ja.vtt |
876 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/14. Adjusting the Bin Width-VyYQPDw7w3Y.en.vtt |
876 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 04-Lesson 01_Cleaning Data/18. You Can Iterate -CDRmFJHywp8.zh-CN.vtt |
878 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/21. Clean Code 1 Solution -Noykh9Zt6aI.en.vtt |
878 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-yhzQ_HJcwn8.en.vtt |
879 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.en.vtt |
879 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-5Uon6hUTl8Y.zh-CN.vtt |
879 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/37. Congrats on Learning Naive Bayes-nQsYfzO7-00.en.vtt |
879 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.en.vtt |
879 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-lfZg7j5W7u8.pt-BR.vtt |
879 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/01. Introduction-2Y279421n3A.pt-BR.vtt |
879 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.es-ES.vtt |
880 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-WxAWorS2SLg.pt-BR.vtt |
880 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/35. Decision Tree Mini-Project Video-eFjeXiC0KHA.zh-CN.vtt |
880 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-FOwEL4S-SVo.zh-CN.vtt |
881 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/13. Some challenges of k-means-e2CdlG5P4WA.ar.vtt |
882 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/01. Lesson Overview-DkjRzNwjSfo.en.vtt |
883 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/01. Instructors Introduction-lIvm8urf4GE.zh-CN.vtt |
883 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.en.vtt |
883 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 15_Multiple Linear Regression/26. Recap-VM6GGNC2q8I.en.vtt |
884 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/24. Overfitting-plx_F2BkwNQ.zh-CN.vtt |
884 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.pt-BR.vtt |
884 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.es-ES.vtt |
885 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.ar.vtt |
885 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.es-ES.vtt |
886 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.zh-CN.vtt |
886 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.ar.vtt |
886 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.ja.vtt |
887 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 12_Hypothesis Testing/13. How Do We Choose Between Hypotheses-JkXTwS-5Daw.zh-CN.vtt |
887 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-8QEAYYIyopY.zh-CN.vtt |
888 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-8QEAYYIyopY.zh-CN.vtt |
888 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-vxS-Kh4eI0U.zh-CN.vtt |
888 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-QsWzjYigYB4.ar.vtt |
888 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.pt-BR.vtt |
889 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 12_Hypothesis Testing/29. Hypothesis Testing Conclusion-nQFchD4XPPs.zh-CN.vtt |
890 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-TEAGqUkQVdM.pt-BR.vtt |
890 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 04-Lesson 01_Cleaning Data/14. Cleaning For Quallity -qyixEwMRtWA.en.vtt |
891 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.pt-BR.vtt |
891 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/24. Final Thoughts-CNGDocH1k3k.zh-CN.vtt |
891 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/28. Conclusion-xYqxZQmXCdI.en.vtt |
891 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line---Pc1ASVjmM.pt-BR.vtt |
892 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/33. Bayes' Rule and Robotics-meNSO42JF6I.zh-CN.vtt |
892 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.en.vtt |
892 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-mdCk7Gwkd4g.ar.vtt |
893 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-wIXO77zyVxs.en.vtt |
893 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/01. Introduction to Data Cleaning-YTtH3NM2BX0.zh-CN.vtt |
893 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/11. Slope and Intercept-Ksn1g5fCe1I.en.vtt |
893 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-osn2fVnCVgQ.pt-BR.vtt |
893 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-O0bvLU4l0is.pt-BR.vtt |
893 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.ar.vtt |
894 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-wIXO77zyVxs.en-US.vtt |
895 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-osn2fVnCVgQ.en.vtt |
895 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/01. Case Study Introduction-r8uEDyBylHY.pt-BR.vtt |
895 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 05_Trees/01. Trees-PXie7f22v2Q.pt-BR.vtt |
895 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.ar.vtt |
896 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.zh-CN.vtt |
896 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-_HWtxJRaawA.pt-BR.vtt |
896 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.pt-BR.vtt |
896 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-_TJeoCTDykE.en.vtt |
896 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 05_Trees/01. Trees-PXie7f22v2Q.en.vtt |
897 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/01. Welcome To Decision Trees-5eAHVk1-Hz0.pt-BR.vtt |
897 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/01. Welcome To Decision Trees-5eAHVk1-Hz0.en.vtt |
897 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.en.vtt |
898 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/09. Extra Practice With Dashboards-Va2zNfnUC6o.zh-CN.vtt |
898 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.en.vtt |
898 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-0OkHWvkwCus.zh-CN.vtt |
898 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-Bw6sYY84cYg.ja.vtt |
899 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/25. Welcome to the End of Evaluation Lesson-sgFfl-j_oCs.zh-CN.vtt |
899 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.pt-BR.vtt |
899 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.ar.vtt |
899 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 05_Trees/01. Trees-PXie7f22v2Q.en-US.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.ar.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-bgT8sWuV2lc.en.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.ar.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/01. Outliers in Regression-_IetITlJpIs.pt-BR.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.es-ES.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 08_Technical Interview - Python/06. Runtime Analysis-8bI9OgOB2qI.zh-CN.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-bgT8sWuV2lc.en.vtt |
900 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/28. Conclusion-xYqxZQmXCdI.pt-BR.vtt |
901 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-xeMDpSRTLWc.ja.vtt |
901 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.ja.vtt |
902 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-4qJwfAWG_wQ.pt-BR.vtt |
902 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.ar.vtt |
902 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/22. SVM C Parameter-WVg5-vxQDm8.zh-CN.vtt |
902 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/25. Algorithms for Minimizing Squared Errors-Dw_9Dp6wcJ8.pt-BR.vtt |
903 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/11. Slope and Intercept-Ksn1g5fCe1I.pt-BR.vtt |
903 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.ar.vtt |
903 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.ar.vtt |
904 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/16. NB Decision Boundary in Python-pauohSxuCVs.zh-CN.vtt |
904 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-EllzeBecnkU.pt-BR.vtt |
904 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.zh-CN.vtt |
905 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.en.vtt |
906 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/13. Line Plots-GsaBT47pjgQ.zh-CN.vtt |
906 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 11_Confidence Intervals/16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.en.vtt |
906 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.zh-CN.vtt |
908 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-vxS-Kh4eI0U.ja.vtt |
908 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.en.vtt |
908 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/01. Outliers in Regression-_IetITlJpIs.en.vtt |
909 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.th.vtt |
910 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.ja.vtt |
911 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-gGgqTGZ9TKg.zh-CN.vtt |
912 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/06. Where to use training vs. testing data 3-o7LnSu0CEb4.ar.vtt |
912 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/24. Noise in Conditional Means-GKXB5Qjlxo0.ja.vtt |
912 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-9I8ysrRlmbA.zh-CN.vtt |
913 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-dGS0SKu1ox0.pt-BR.vtt |
913 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/05. Overplotting-qX2W99WrP0k.ja.vtt |
913 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/03. What Is Coming Up-oDJsnQcCPr4.zh-CN.vtt |
913 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/01. Outliers in Regression-_IetITlJpIs.en-US.vtt |
913 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/08. Faceting-x4V3IyECIN4.en.vtt |
914 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.pt-BR.vtt |
914 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.pt-BR.vtt |
914 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.zh-CN.vtt |
914 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.it.vtt |
915 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-q_zfkCwRg1w.ar.vtt |
916 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/32. PCA Mini-Project Intro-rR68JXwKBxE.zh-CN.vtt |
916 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.ar.vtt |
916 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/11. Min Samples Split-Mt5TWGYacJs.pt-BR.vtt |
916 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 3-oVGmi4zBOT8.pt-BR.vtt |
917 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/01. Welcome to SVM-gnAmmyQ_ZcQ.ja.vtt |
917 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 04_Files and Modules/10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.zh-CN.vtt |
918 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/09. Data Types Summary-T-KrQoAJUpI.pt-BR.vtt |
919 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-z2rZndd-cdc.ja.vtt |
919 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/05. Thinking in Ratios-r4ZOwz3_oXs.en.vtt |
919 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/21. Conclusion-UFwgr6tLcuI.ar.vtt |
920 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/23. Predictions-hW_1ASU-j8A.en.vtt |
920 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-tUeaXXT2oDI.pt-BR.vtt |
921 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 01_What is EDA/07. The Growth of Televisions-r5qca6q4Fn4.ja.vtt |
921 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.ja.vtt |
923 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/11. Min Samples Split-Mt5TWGYacJs.en.vtt |
923 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/10. Cut a Variable-PHJiH5WCBwg.en.vtt |
924 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-HNo0KSYM2b4.ar.vtt |
924 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/15. Counterintuitive Clusters-aveIz1JYeAg.zh-CN.vtt |
924 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/13. Exploring with Bin Width-TYN_LGAV3m8.en.vtt |
924 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/18. AgeNet Worth Regression in sklearn-5aghWw9eIAM.zh-CN.vtt |
924 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/10. Cut a Variable-PHJiH5WCBwg.pt-BR.vtt |
925 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.hr.vtt |
925 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 04-Lesson 01_Cleaning Data/14. Cleaning For Quallity -qyixEwMRtWA.zh-CN.vtt |
925 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-sCZI5gWS6mg.ar.vtt |
926 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/24. Minimizing Sum of Squared Errors-E1XzT619Eug.pt-BR.vtt |
926 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/17. Congratulations-GxhPaVbDHnw.ar.vtt |
926 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/26. Why Are Sampling Distributions Important-aDFDOCJKoH0.zh-CN.vtt |
927 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 01-Lesson 03_Interview Fails/01. Interview Fails-FD6UNqMa0xc.zh-CN.vtt |
927 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-TEAGqUkQVdM.ja.vtt |
927 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/15. Bias Variance Trade off Revisited-GGCzMmOpQqQ.en.vtt |
927 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.zh-CN.vtt |
928 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-I_v6ueT0k3M.ar.vtt |
928 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-FY9_6rOPk6c.en.vtt |
928 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/26. SVM Mini-Project Video-mENzEtsiOmI.pt-BR.vtt |
928 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-yhzQ_HJcwn8.pt-BR.vtt |
928 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/30. Sebastian At Home-TtmQ7YCw_1Y.zh-CN.vtt |
930 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-8QEAYYIyopY.pt-BR.vtt |
930 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-8QEAYYIyopY.pt-BR.vtt |
930 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-rexAHoCGFMs.ar.vtt |
930 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/13. Correlation on Subsets-BbBaLbDoPBY.en.vtt |
931 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-iZYv1WdWwQo.zh-CN.vtt |
931 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.en.vtt |
931 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/23. Predictions-hW_1ASU-j8A.pt-BR.vtt |
932 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.pt-BR.vtt |
933 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-c-pfYggUsdQ.ja.vtt |
933 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.zh-CN.vtt |
933 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/12. What Can You Create In Tableau-gNqIvf5iJA8.en.vtt |
933 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-EPrrQaYp7H0.ar.vtt |
934 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 04-Lesson 01_Cleaning Data/04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.zh-CN.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-w-czJptEyBk.zh-CN.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.pt-BR.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/24. Noise in Conditional Means-GKXB5Qjlxo0.en.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.pt-BR.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/11. Min Samples Split-Mt5TWGYacJs.zh-CN.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.zh-CN.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/26. SVM Mini-Project Video-mENzEtsiOmI.ja.vtt |
935 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-tEU11PXloLU.en.vtt |
936 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.pt-BR.vtt |
937 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-z2rZndd-cdc.pt-BR.vtt |
937 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-z2rZndd-cdc.en.vtt |
937 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-qnfVoUChRlQ.pt-BR.vtt |
937 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/01. Introduction to Data Cleaning-YTtH3NM2BX0.pt-BR.vtt |
937 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-TbT6a6qaj08.ar.vtt |
938 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-K4gGK4ScT7M.en.vtt |
939 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-yH2wQQt-Rjo.en.vtt |
939 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-dGS0SKu1ox0.ja.vtt |
940 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/12. Plot the Grand Mean-tmdzYKNqDSs.zh-CN.vtt |
940 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/01. Introduction-SvdlBB-ZjcQ.en.vtt |
940 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.en.vtt |
940 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 3-oVGmi4zBOT8.en.vtt |
940 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.ar.vtt |
941 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-tEU11PXloLU.en-US.vtt |
942 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.hr.vtt |
942 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 2-so5zydnbYEg.ar.vtt |
942 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-3jfQlMLyH2o.zh-CN.vtt |
942 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/05. Overplotting-qX2W99WrP0k.en.vtt |
942 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/18. More Caution with Correlation-sefN2vaxjSA.zh-CN.vtt |
943 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-Kst3mlrqJnQ.en.vtt |
943 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.zh-CN.vtt |
944 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.pt-BR.vtt |
944 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.pt-BR.vtt |
944 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.en.vtt |
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945 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 03-Lesson 01_Assessing Data/13. Date Quality Dimensions 2 -aEGtqoWIJIc.ar.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.it.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/01. Welcome!-rkWU07ZDYzA.ar.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 02_R Basics/01. The Power of R-Ca0MWoH_ZMY.zh-CN.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-5dt0N4XN-y4.ar.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.es-ES.vtt |
948 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.es-ES.vtt |
948 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.zh-CN.vtt |
948 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/01. Introduction to Probability-HeoQccoqfTk.zh-CN.vtt |
949 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.ja.vtt |
949 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-lfZg7j5W7u8.ja.vtt |
950 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-wIXO77zyVxs.pt-BR.vtt |
950 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 08_Technical Interview - Python/03. Confirming Inputs-8lPTOG1yLsg.pt-BR.vtt |
950 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.pt-BR.vtt |
951 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/13. Line Plots-GsaBT47pjgQ.en.vtt |
951 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-qnfVoUChRlQ.en.vtt |
951 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.en.vtt |
952 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/37. Congrats on Learning Naive Bayes-nQsYfzO7-00.ja.vtt |
952 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-gGgqTGZ9TKg.ja.vtt |
952 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/01. Instructors Introduction-lIvm8urf4GE.pt-BR.vtt |
953 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Iz4ViIg9ZlQ.en.vtt |
953 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/10. Decision Tree Parameters-Is5T4alCCGQ.ja.vtt |
953 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/18. Practice Making a New Feature-ygveMIhCtDg.zh-CN.vtt |
953 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 18-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.ar.vtt |
953 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-Kst3mlrqJnQ.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/10. Decision Tree Parameters-Is5T4alCCGQ.en.vtt |
956 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-gGgqTGZ9TKg.hr.vtt |
956 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/12. What Can You Create In Tableau-gNqIvf5iJA8.pt-BR.vtt |
956 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/07. Traveling Salesman Problem-9ruR5Ux63QU.en.vtt |
957 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.hr.vtt |
957 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.es-ES.vtt |
957 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-9I8ysrRlmbA.ja.vtt |
957 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.pt-BR.vtt |
957 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 02-Module 01-Lesson 03_Data Structures and Loops/01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.ar.vtt |
958 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 05_SQL Data Cleaning/01. Introduction to Data Cleaning-YTtH3NM2BX0.en.vtt |
958 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/24. Minimizing Sum of Squared Errors-E1XzT619Eug.en.vtt |
958 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.ar.vtt |
959 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 12-Module 01-Lesson 01_GitHub Review/16. Outro-dps7Ti6Lado.pt-BR.vtt |
959 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 14_Regression/21. Recap-DzMi27LI5l4.en.vtt |
959 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/07. Traveling Salesman Problem-9ruR5Ux63QU.en-US.vtt |
960 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 16_Tying It All Together/03. End of Content-MFRkl-aXL8I.pt-BR.vtt |
960 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 02_Naive Bayes/24. Cancer Test-uHIZl6MCiPY.zh-CN.vtt |
962 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 11_Confidence Intervals/16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-yYqN9Mf4jqw.zh-CN.vtt |
962 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-yH2wQQt-Rjo.pt-BR.vtt |
962 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/03. What Is Coming Up-oDJsnQcCPr4.en.vtt |
963 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.ar.vtt |
963 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 04-Lesson 01_Cleaning Data/18. You Can Iterate -CDRmFJHywp8.pt-BR.vtt |
963 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-vxS-Kh4eI0U.en.vtt |
964 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.en.vtt |
964 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-bDCXSxkochE.zh-CN.vtt |
964 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/14. Other Sampling Distributions-Bxl0DonzX8c.zh-CN.vtt |
964 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.ar.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/24. Final Thoughts-CNGDocH1k3k.en.vtt |
965 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.pt-BR.vtt |
965 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/05. Beware of Feature Bugs!-UjaFiRdHPZg.ar.vtt |
965 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 05_Trees/10. Binary Search Trees-7-ZQrugO-Yc.zh-CN.vtt |
965 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/01. Intro Project Explore Weather Trends-xneztkf0TsY.zh-CN.vtt |
966 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 08_Technical Interview - Python/06. Runtime Analysis-8bI9OgOB2qI.pt-BR.vtt |
966 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-iZYv1WdWwQo.ja.vtt |
966 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/26. SVM Mini-Project Video-mENzEtsiOmI.en.vtt |
966 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-lPrKmvckG4E.zh-CN.vtt |
966 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-qnfVoUChRlQ.ja.vtt |
966 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/11. Plotting It All Together-Y4rUkaYQQKI.ar.vtt |
967 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-PlFG87qPSB4.ar.vtt |
967 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.it.vtt |
967 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.es-ES.vtt |
967 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/09. Extra Practice With Dashboards-Va2zNfnUC6o.en.vtt |
969 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/21. Clean Code 1 Solution -Noykh9Zt6aI.pt-BR.vtt |
969 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/19. Number of Purchases-rQT88sMuM_M.zh-CN.vtt |
969 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-GMe5JT2_oUE.ar.vtt |
969 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.it.vtt |
969 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.th.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/10. Cut a Variable-PHJiH5WCBwg.ja.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-gGgqTGZ9TKg.es-ES.vtt |
971 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/14. Performance Tuning Motivation-aY4_uYWEuoE.pt-BR.vtt |
972 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/12. Plot the Grand Mean-tmdzYKNqDSs.ja.vtt |
973 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-lfZg7j5W7u8.en.vtt |
973 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.zh-CN.vtt |
973 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-znlTyocTgSc.ar.vtt |
973 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.pt-BR.vtt |
974 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.ar.vtt |
974 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-yH2wQQt-Rjo.es-MX.vtt |
975 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/06. Estimating Your Audience Size-FfzVPWM5DZ8.zh-CN.vtt |
975 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/15. Create Scatterplots--gIxCjLXCEs.zh-CN.vtt |
975 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/07. Traveling Salesman Problem-9ruR5Ux63QU.pt-BR.vtt |
975 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.es-ES.vtt |
975 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/19. Exploring Data With Visuals-0i_9t4Wi0Og.ar.vtt |
975 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/14. Performance Tuning Motivation-aY4_uYWEuoE.en.vtt |
976 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-O0bvLU4l0is.ar.vtt |
976 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-QBaNltqVj_0.zh-CN.vtt |
976 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/21. Information Gain-KYieR9y-ue4.zh-CN.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-5Uon6hUTl8Y.pt-BR.vtt |
977 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-FnNveASivMA.zh-CN.vtt |
978 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 03-Lesson 01_Basic SQL/03. Entity Relationship Diagrams-YY2TAJLEINA.zh-CN.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 02-Lesson 01_Gathering Data/25. You Can Iterate-QsJqoJYhTiw.zh-CN.vtt |
979 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/04. Entity Relationship Diagrams-YY2TAJLEINA.zh-CN.vtt |
979 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 07_Bayes Rule/33. Bayes' Rule and Robotics-meNSO42JF6I.en.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/12. Plot the Grand Mean-pxaXkCjukGM.zh-CN.vtt |
980 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/13. Correlation on Subsets-BbBaLbDoPBY.pt-BR.vtt |
980 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.ar.vtt |
982 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/11. Introduction To Notation-ISkBSUVH49M.zh-CN.vtt |
982 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 15_Multiple Linear Regression/26. Recap-VM6GGNC2q8I.pt-BR.vtt |
983 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-0OkHWvkwCus.ja.vtt |
983 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/32. PCA Mini-Project Intro-rR68JXwKBxE.pt-BR.vtt |
983 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-iZYv1WdWwQo.pt-BR.vtt |
984 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-5Uon6hUTl8Y.en.vtt |
984 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.ja.vtt |
984 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-w-czJptEyBk.en.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 13_Case Study AB tests/09. Experiment II-fq4eO7CybA4.zh-CN.vtt |
987 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/01. Introduction-SvdlBB-ZjcQ.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.en.vtt |
988 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.pt-BR.vtt |
988 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-K4gGK4ScT7M.pt-BR.vtt |
989 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/18. Practice Making a New Feature-ygveMIhCtDg.pt-BR.vtt |
989 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-osn2fVnCVgQ.ja.vtt |
989 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/01. Welcome to SVM-gnAmmyQ_ZcQ.ar.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-vxS-Kh4eI0U.pt-BR.vtt |
991 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 09_Clustering/15. Counterintuitive Clusters-aveIz1JYeAg.en.vtt |
991 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-yH2wQQt-Rjo.ja.vtt |
993 B |
| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-FY9_6rOPk6c.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/25. Reassess and Iterate-eu1gO_76pSY.ar.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 03-Module 02-Lesson 01_The Data Analysis Process/01. Instructor Introduction Juno Lee-to8Pp3PCOZo.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 05_Explore Two Variables/09. Conditional Means-8oM8KjsntG8.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 13-Module 01-Lesson 01_Develop Your Personal Brand/05. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 13-Module 01-Lesson 01_Develop Your Personal Brand/06. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 08-Module 02-Lesson 01_Gathering Data/01. Introduction-XtJN72lBo94.en.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 07-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-DclTt9xqS4s.ja.vtt |
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| Udacity - Data Analyst Nanodegree nd002 v8.0.0/Part 16-Module 01-Lesson 13_PCA/38. Selecting Principal Components-IwcoGtFuYSo.zh-CN.vtt |
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Magnet link