 
| PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\15. Advanced Statistical Methods in Python\2. Multiple Linear Regression | ||
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|  9. A5 - No Multicollinearity.mp4 | ||
|  8. A4 - No Autocorrelation.mp4 | ||
|  7. A3 - Normality and Homoscedasticity.mp4 | ||
|  6. A2 - No Endogeneity.mp4 | ||
|  5. A1 - Linearity.mp4 | ||
|  4. OLS Assumptions.mp4 | ||
|  3. Test for Significance of the Model (F-Test).mp4 | ||
|  2. Adjusted R-Squared.mp4 | ||
|  11. Making Predictions with the Linear Regression.mp4 | ||
|  10. Dealing with Categorical Data - Dummy Variables.mp4 | ||
|  1. Multiple Linear Regression.mp4 | ||