PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\19. Credit Risk Modeling in Python\5. PD model%3a data preparation

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1. How is the PD model going to look like.mp412,243 KB12/12/2021 3:34 AM
10. Data preparation. Preprocessing discrete variables - creating dummies (Part 2).mp435,670 KB12/12/2021 3:34 AM
11. Data preparation. Preprocessing continuous variables - automating calculations.mp419,915 KB12/12/2021 3:34 AM
12. Data preparation. Preprocessing continuous variables - creating dummies (Part 1).mp414,825 KB12/12/2021 3:34 AM
13. Data preparation. Preprocessing continuous variables - creating dummies (Part 2).mp438,934 KB12/12/2021 3:34 AM
14. Data preparation. Preprocessing continuous variables - creating dummies (Part 3).mp436,957 KB12/12/2021 3:34 AM
15. Data preparation. Preprocessing the test dataset.mp412,006 KB12/12/2021 3:34 AM
2. Dependent variable - Good_ Bad (default) definition.mp412,609 KB12/12/2021 3:34 AM
3. Fine classing, weight of evidence, and coarse classing.mp416,070 KB12/12/2021 3:34 AM
4. Information value.mp413,144 KB12/12/2021 3:34 AM
5. Data preparation. Splitting data.mp420,809 KB12/12/2021 3:34 AM
6. Data preparation. An example.mp417,956 KB12/12/2021 3:34 AM
7. Data preparation. Preprocessing discrete variables - automating calculations.mp416,625 KB12/12/2021 3:34 AM
8. Data preparation. Preprocessing discrete variables - visualizing results.mp423,275 KB12/12/2021 3:34 AM
9. Data Preparation. Preprocessing Discrete Variables - Creating Dummies (Part 1).mp418,210 KB12/12/2021 3:34 AM