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