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.mp411,218 KB12/12/2021 3:34 AM
10. Saving the Model and Preparing for Deployment.mp44,521 KB12/12/2021 3:34 AM
11. Predicting on New Data.mp418,963 KB12/12/2021 3:34 AM
2. Exploring the Dataset.mp423,130 KB12/12/2021 3:34 AM
3. How Are We Going to Tackle the Business Case.mp43,097 KB12/12/2021 3:34 AM
4. Balancing the Dataset.mp445,719 KB12/12/2021 3:34 AM
5. Preprocessing the Data for Deep Learning.mp431,277 KB12/12/2021 3:34 AM
6. Outlining the Deep Learning Model.mp48,731 KB12/12/2021 3:34 AM
7. Training the Deep Learning Model.mp427,656 KB12/12/2021 3:34 AM
8. Testing the Model.mp416,008 KB12/12/2021 3:34 AM
9. Obtaining the Probability of a Customer to Convert.mp417,481 KB12/12/2021 3:34 AM