PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\21. Customer Analytics in Python\8. Modeling Purchase Incidence | ||
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 9. Comparing Price Elasticities with and without Promotion.mp4 | ||
| 8. Calculating Price Elasticities with Promotion.mp4 | ||
| 7. Purchase Probability Model with Promotion.mp4 | ||
| 6. Purchase Probability by Segments.mp4 | ||
| 5. Price Elasticity of Purchase Probability - Results.mp4 | ||
| 4. Calculating Price Elasticity of Purchase Probability.mp4 | ||
| 3. Model Estimation.mp4 | ||
| 2. Prepare the Dataset for Logistic Regression.mp4 | ||
| 1. Purchase Incidence Models. The Model - Binomial Logistic Regression.mp4 | ||