PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\19. Credit Risk Modeling in Python\6. PD model estimation | ||
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 1. The PD model. Logistic regression with dummy variables.mp4 | ||
| 2. Loading the data and selecting the features.mp4 | ||
| 3. PD model estimation.mp4 | ||
| 4. Build a logistic regression model with p-values..mp4 | ||
| 5. Interpreting the coefficients in the PD model.mp4 | ||