| 365 Data Science - Customer Analytics in Python [CoursesGhar]/!! IMPORTANT Note !!.txt |
298 B |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/!!! Please Support !!! [CoursesGhar.Com].txt |
197 B |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/00. Websites You May Like/A1movies.com.pk.url |
116 B |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/00. Websites You May Like/CoursesGhar.com.url |
114 B |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/1. A Brief Marketing Introduction/1. Segmentation, Targeting, Positioning.mp4 |
27.7 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/1. A Brief Marketing Introduction/2. Marketing Mix.mp4 |
28.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/1. A Brief Marketing Introduction/3. Physical and Online Retailers - Similarities and Differences..mp4 |
23.1 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/1. A Brief Marketing Introduction/4. Price Elasticity.mp4 |
32.1 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/10. Modeling Purchase Quantity/1. Purchase Quantity Models. The Model - Linear Regression.mp4 |
7.9 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/10. Modeling Purchase Quantity/2. Preparing the Data and Fitting the Model.mp4 |
29.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/10. Modeling Purchase Quantity/3. Calculating Price Elasticity of Purchase Quantity.mp4 |
10.7 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/10. Modeling Purchase Quantity/4. Price Elasticity of Purchase Quantity - Results.mp4 |
6.6 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/1. Introduction to Deep Learning for Customer Analytics.mp4 |
11 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/10. Saving the Model and Preparing for Deployment.mp4 |
4.4 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/11. Predicting on New Data.mp4 |
18.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/2. Exploring the Dataset.mp4 |
22.6 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/3. How Are We Going to Tackle the Business Case.mp4 |
3 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/4. Balancing the Dataset.mp4 |
44.6 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/5. Preprocessing the Data for Deep Learning.mp4 |
30.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/6. Outlining the Deep Learning Model.mp4 |
8.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/7. Training the Deep Learning Model.mp4 |
27 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/8. Testing the Model.mp4 |
15.6 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/11. Deep Learning/9. Obtaining the Probability of a Customer to Convert.mp4 |
17.1 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/2. Segmentation Data/1. Getting to know the Segmentation Dataset.mp4 |
11.8 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/2. Segmentation Data/2. Importing and Exploring Segmentation Data.mp4 |
30 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/2. Segmentation Data/3. Standardizing Segmentation Data.mp4 |
9.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/3. Hierarchical Clustering/1. Hierarchical Clustering - Background.mp4 |
8.8 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/3. Hierarchical Clustering/2. Hierarchical Clustering - Implementation and Results.mp4 |
16.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/4. K-Means Clustering/1. K-Means Clustering - Background.mp4 |
7.3 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/4. K-Means Clustering/2. K-Means Clustering - Application.mp4 |
10.9 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/4. K-Means Clustering/3. K-Means Clustering - Results.mp4 |
20.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/5. K-Means Clustering based on Principal Component Analysis/1. Principal Component Analysis - Background.mp4 |
4.1 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/5. K-Means Clustering based on Principal Component Analysis/2. Principal Component Analysis - Application.mp4 |
10.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/5. K-Means Clustering based on Principal Component Analysis/3. Principal Component Analysis - Results.mp4 |
9.9 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/5. K-Means Clustering based on Principal Component Analysis/4. K-Means Clustering with Principal Components - Application.mp4 |
7 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/5. K-Means Clustering based on Principal Component Analysis/5. K-Means Clustering with Principal Components - Results.mp4 |
25.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/5. K-Means Clustering based on Principal Component Analysis/6. Saving the Models.mp4 |
8.8 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/6. Purchase Data/1. Purchase Analytics - Introduction.mp4 |
3.1 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/6. Purchase Data/2. Getting to know the Purchase Dataset.mp4 |
20.4 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/6. Purchase Data/3. Importing and Exploring Purchase Data.mp4 |
4.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/6. Purchase Data/4. Applying the Segmentation Model.mp4 |
9.3 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/7. Descriptive Analyses by Segments/1. Purchase Analytics Descriptive Statistics - Segment Proportions.mp4 |
13.9 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/7. Descriptive Analyses by Segments/2. Purchase Analytics Descriptive Statistics - Purchase occasion and purchase Incidence.mp4 |
9.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/7. Descriptive Analyses by Segments/3. Brand Choice.mp4 |
11.8 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/7. Descriptive Analyses by Segments/4. Dissecting the revenue by segment.mp4 |
15.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/1. Purchase Incidence Models. The Model - Binomial Logistic Regression.mp4 |
6.4 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/2. Prepare the Dataset for Logistic Regression.mp4 |
3 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/3. Model Estimation.mp4 |
9.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/4. Calculating Price Elasticity of Purchase Probability.mp4 |
14.4 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/5. Price Elasticity of Purchase Probability - Results.mp4 |
12.5 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/6. Purchase Probability by Segments.mp4 |
18 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/7. Purchase Probability Model with Promotion.mp4 |
6 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/8. Calculating Price Elasticities with Promotion.mp4 |
5.1 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/8. Modeling Purchase Incidence/9. Comparing Price Elasticities with and without Promotion.mp4 |
7.4 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/9. Modeling Brand Choice/1. Brand Choice Models. The Model - Multinomial Logistic Regression.mp4 |
7 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/9. Modeling Brand Choice/2. Prepare Data and Fit the Model.mp4 |
5.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/9. Modeling Brand Choice/3. Interpreting the Coefficients.mp4 |
6.7 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/9. Modeling Brand Choice/4. Own Price Brand Choice Elasticity.mp4 |
11.4 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/9. Modeling Brand Choice/5. Cross Price Brand Choice Elasticity.mp4 |
14.1 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/9. Modeling Brand Choice/6. Own and Cross-Price Elasticity by Segment.mp4 |
16.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/9. Modeling Brand Choice/7. Own and Cross-Price Elasticity by Segment - Comparison.mp4 |
16.2 MB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/Join Our Telegram Group For More Updates !!!.url |
138 B |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/Uploaded by [Coursesghar.com].txt |
1 KB |
| 365 Data Science - Customer Analytics in Python [CoursesGhar]/Visit coursesghar.com for more awesome tutorials.url |
114 B |
Magnet link
