| O`REILLY - Data Science Bookcamp, VIDEO EDITION/01 - Case study 1 - Finding the winning strategy in a card game.mp4 |
6.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/02 - Chapter 1. Computing probabilities using Python This section covers.mp4 |
56.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/03 - Chapter 1. Problem 2 - Analyzing multiple die rolls.mp4 |
60.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/04 - Chapter 2. Plotting probabilities using Matplotlib.mp4 |
53.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/05 - Chapter 2. Comparing multiple coin-flip probability distributions.mp4 |
65.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/06 - Chapter 3. Running random simulations in NumPy.mp4 |
36.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/07 - Chapter 3. Computing confidence intervals using histograms and NumPy arrays.mp4 |
47.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/08 - Chapter 3. Deriving probabilities from histograms.mp4 |
57.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/09 - Chapter 3. Computing histograms in NumPy.mp4 |
53 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/10 - Chapter 3. Using permutations to shuffle cards.mp4 |
35.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/11 - Chapter 4. Case study 1 solution.mp4 |
34.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/12 - Chapter 4. Optimizing strategies using the sample space for a 10-card deck.mp4 |
47.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/13 - Case study 2 - Assessing online ad clicks for significance.mp4 |
31.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/14 - Chapter 5. Basic probability and statistical analysis using SciPy.mp4 |
76.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/15 - Chapter 5. Mean as a measure of centrality.mp4 |
36.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/16 - Chapter 5. Variance as a measure of dispersion.mp4 |
73.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/17 - Chapter 6. Making predictions using the central limit theorem and SciPy.mp4 |
58.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/18 - Chapter 6. Comparing two sampled normal curves.mp4 |
31.5 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/19 - Chapter 6. Determining the mean and variance of a population through random sampling.mp4 |
55.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/20 - Chapter 6. Computing the area beneath a normal curve.mp4 |
64.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/21 - Chapter 7. Statistical hypothesis testing.mp4 |
39.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/22 - Chapter 7. Assessing the divergence between sample mean and population mean.mp4 |
68.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/23 - Chapter 7. Data dredging - Coming to false conclusions through oversampling.mp4 |
79.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/24 - Chapter 7. Bootstrapping with replacement - Testing a hypothesis when the population variance is unknown 1.mp4 |
53.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/25 - Chapter 7. Bootstrapping with replacement - Testing a hypothesis when the population variance is unknown 2.mp4 |
52.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/26 - Chapter 7. Permutation testing - Comparing means of samples when the population parameters are unknown.mp4 |
43.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/27 - Chapter 8. Analyzing tables using Pandas.mp4 |
40.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/28 - Chapter 8. Retrieving table rows.mp4 |
38.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/29 - Chapter 8. Saving and loading table data.mp4 |
40.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/30 - Chapter 9. Case study 2 solution.mp4 |
33.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/31 - Chapter 9. Determining statistical significance.mp4 |
43.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/32 - Case study 3 - Tracking disease outbreaks using news headlines.mp4 |
6.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/33 - Chapter 10. Clustering data into groups.mp4 |
61.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/34 - Chapter 10. K-means - A clustering algorithm for grouping data into K central groups.mp4 |
61.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/35 - Chapter 10. Using density to discover clusters.mp4 |
52.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/36 - Chapter 10. Clustering based on non-Euclidean distance.mp4 |
68.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/37 - Chapter 10. Analyzing clusters using Pandas.mp4 |
40.5 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/38 - Chapter 11. Geographic location visualization and analysis.mp4 |
46.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/39 - Chapter 11. Plotting maps using Cartopy.mp4 |
33.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/40 - Chapter 11. Visualizing maps.mp4 |
58.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/41 - Chapter 11. Location tracking using GeoNamesCache.mp4 |
62.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/42 - Chapter 11. Limitations of the GeoNamesCache library.mp4 |
69.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/43 - Chapter 12. Case study 3 solution.mp4 |
34.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/44 - Chapter 12. Visualizing and clustering the extracted location data.mp4 |
70.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/45 - Case study 4 - Using online job postings to improve your data science resume.mp4 |
23.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/46 - Chapter 13. Measuring text similarities.mp4 |
36.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/47 - Chapter 13. Simple text comparison.mp4 |
44 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/48 - Chapter 13. Replacing words with numeric values.mp4 |
42.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/49 - Chapter 13. Vectorizing texts using word counts.mp4 |
44.5 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/50 - Chapter 13. Using normalization to improve TF vector similarity.mp4 |
48.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/51 - Chapter 13. Using unit vector dot products to convert between relevance metrics.mp4 |
41.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/52 - Chapter 13. Basic matrix operations, Part 1.mp4 |
48.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/53 - Chapter 13. Basic matrix operations, Part 2.mp4 |
27.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/54 - Chapter 13. Computational limits of matrix multiplication.mp4 |
47.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/55 - Chapter 14. Dimension reduction of matrix data.mp4 |
61.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/56 - Chapter 14. Reducing dimensions using rotation, Part 1.mp4 |
39 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/57 - Chapter 14. Reducing dimensions using rotation, Part 2.mp4 |
37.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/58 - Chapter 14. Dimension reduction using PCA and scikit-learn.mp4 |
64.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/59 - Chapter 14. Clustering 4D data in two dimensions.mp4 |
54.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/60 - Chapter 14. Limitations of PCA.mp4 |
30.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/61 - Chapter 14. Computing principal components without rotation.mp4 |
47.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/62 - Chapter 14. Extracting eigenvectors using power iteration, Part 1.mp4 |
44.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/63 - Chapter 14. Extracting eigenvectors using power iteration, Part 2.mp4 |
34.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/64 - Chapter 14. Efficient dimension reduction using SVD and scikit-learn.mp4 |
68.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/65 - Chapter 15. NLP analysis of large text datasets.mp4 |
47.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/66 - Chapter 15. Vectorizing documents using scikit-learn.mp4 |
87.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/67 - Chapter 15. Ranking words by both post frequency and count, Part 1.mp4 |
56.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/68 - Chapter 15. Ranking words by both post frequency and count, Part 2.mp4 |
48.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/69 - Chapter 15. Computing similarities across large document datasets.mp4 |
60.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/70 - Chapter 15. Clustering texts by topic, Part 1.mp4 |
73.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/71 - Chapter 15. Clustering texts by topic, Part 2.mp4 |
87.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/72 - Chapter 15. Visualizing text clusters.mp4 |
58.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/73 - Chapter 15. Using subplots to display multiple word clouds, Part 1.mp4 |
50.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/74 - Chapter 15. Using subplots to display multiple word clouds, Part 2.mp4 |
58.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/75 - Chapter 16. Extracting text from web pages.mp4 |
39.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/76 - Chapter 16. The structure of HTML documents.mp4 |
62.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/77 - Chapter 16. Parsing HTML using Beautiful Soup, Part 1.mp4 |
40.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/78 - Chapter 16. Parsing HTML using Beautiful Soup, Part 2.mp4 |
46.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/79 - Chapter 17. Case study 4 solution.mp4 |
37.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/80 - Chapter 17. Exploring the HTML for skill descriptions.mp4 |
59.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/81 - Chapter 17. Filtering jobs by relevance.mp4 |
73.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/82 - Chapter 17. Clustering skills in relevant job postings.mp4 |
66.5 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/83 - Chapter 17. Investigating the technical skill clusters.mp4 |
41.5 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/84 - Chapter 17. Exploring clusters at alternative values of K.mp4 |
69.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/85 - Chapter 17. Analyzing the 700 most relevant postings.mp4 |
40.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/86 - Case study 5 - Predicting future friendships from social network data.mp4 |
80.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/87 - Chapter 18. An introduction to graph theory and network analysis.mp4 |
74.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/88 - Chapter 18. Analyzing web networks using NetworkX, Part 1.mp4 |
30.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/89 - Chapter 18. Analyzing web networks using NetworkX, Part 2.mp4 |
53.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/90 - Chapter 18. Utilizing undirected graphs to optimize the travel time between towns.mp4 |
57.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/91 - Chapter 18. Computing the fastest travel time between nodes, Part 1.mp4 |
32.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/92 - Chapter 18. Computing the fastest travel time between nodes, Part 2.mp4 |
49 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/93 - Chapter 19. Dynamic graph theory techniques for node ranking and social network analysis.mp4 |
75.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/94 - Chapter 19. Computing travel probabilities using matrix multiplication.mp4 |
40.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/95 - Chapter 19. Deriving PageRank centrality from probability theory.mp4 |
48.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/96 - Chapter 19. Computing PageRank centrality using NetworkX.mp4 |
44.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/97 - Chapter 19. Community detection using Markov clustering, Part 1.mp4 |
60.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/98 - Chapter 19. Community detection using Markov clustering, Part 2.mp4 |
75.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/99 - Chapter 19. Uncovering friend groups in social networks.mp4 |
58 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/100 - Chapter 20. Network-driven supervised machine learning.mp4 |
49 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/101 - Chapter 20. The basics of supervised machine learning.mp4 |
49.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/102 - Chapter 20. Measuring predicted label accuracy, Part 1.mp4 |
37.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/103 - Chapter 20. Measuring predicted label accuracy, Part 2.mp4 |
55.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/104 - Chapter 20. Optimizing KNN performance.mp4 |
35.7 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/105 - Chapter 20. Running a grid search using scikit-learn.mp4 |
39.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/106 - Chapter 20. Limitations of the KNN algorithm.mp4 |
63.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/107 - Chapter 21. Training linear classifiers with logistic regression.mp4 |
58.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/108 - Chapter 21. Training a linear classifier, Part 1.mp4 |
43.5 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/109 - Chapter 21. Training a linear classifier, Part 2.mp4 |
73.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/110 - Chapter 21. Improving linear classification with logistic regression, Part 1.mp4 |
43.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/111 - Chapter 21. Improving linear classification with logistic regression, Part 2.mp4 |
43.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/112 - Chapter 21. Training linear classifiers using scikit-learn.mp4 |
49.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/113 - Chapter 21. Measuring feature importance with coefficients.mp4 |
93.1 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/114 - Chapter 22. Training nonlinear classifiers with decision tree techniques.mp4 |
65.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/115 - Chapter 22. Training a nested if_else model using two features.mp4 |
53.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/116 - Chapter 22. Deciding which feature to split on.mp4 |
57.2 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/117 - Chapter 22. Training if_else models with more than two features.mp4 |
57.8 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/118 - Chapter 22. Training decision tree classifiers using scikit-learn.mp4 |
51.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/119 - Chapter 22. Studying cancerous cells using feature importance.mp4 |
59.3 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/120 - Chapter 22. Improving performance using random forest classification.mp4 |
57.4 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/121 - Chapter 22. Training random forest classifiers using scikit-learn.mp4 |
53 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/122 - Chapter 23. Case study 5 solution.mp4 |
32.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/123 - Chapter 23. Exploring the experimental observations.mp4 |
39 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/124 - Chapter 23. Training a predictive model using network features, Part 1.mp4 |
52.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/125 - Chapter 23. Training a predictive model using network features, Part 2.mp4 |
53.9 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/126 - Chapter 23. Adding profile features to the model.mp4 |
62 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/127 - Chapter 23. Optimizing performance across a steady set of features.mp4 |
42.6 MB |
| O`REILLY - Data Science Bookcamp, VIDEO EDITION/128 - Chapter 23. Interpreting the trained model.mp4 |
64.2 MB |
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