 
| PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\21. Customer Analytics in Python\11. Deep Learning | ||
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|  1. Introduction to Deep Learning for Customer Analytics.mp4 | ||
|  10. Saving the Model and Preparing for Deployment.mp4 | ||
|  11. Predicting on New Data.mp4 | ||
|  2. Exploring the Dataset.mp4 | ||
|  3. How Are We Going to Tackle the Business Case.mp4 | ||
|  4. Balancing the Dataset.mp4 | ||
|  5. Preprocessing the Data for Deep Learning.mp4 | ||
|  6. Outlining the Deep Learning Model.mp4 | ||
|  7. Training the Deep Learning Model.mp4 | ||
|  8. Testing the Model.mp4 | ||
|  9. Obtaining the Probability of a Customer to Convert.mp4 | ||