PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\19. Credit Risk Modeling in Python\1. Introduction | ||
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 1. What is credit risk and why is it important.mp4 | ||
| 2. Expected loss (EL) and its components - PD, LGD and EAD.mp4 | ||
| 3. Capital adequacy, regulations, and the Basel II accord.mp4 | ||
| 4. Basel II approaches - SA, F-IRB, and A-IRB.mp4 | ||
| 5. Different facility types (asset classes) and credit risk modeling approaches.mp4 | ||