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 | 23,145 KB | 12/12/2021 3:34 AM |
8. A4 - No Autocorrelation.mp4 | 29,693 KB | 12/12/2021 3:34 AM |
7. A3 - Normality and Homoscedasticity.mp4 | 32,068 KB | 12/12/2021 3:34 AM |
6. A2 - No Endogeneity.mp4 | 30,384 KB | 12/12/2021 3:34 AM |
5. A1 - Linearity.mp4 | 10,821 KB | 12/12/2021 3:34 AM |
4. OLS Assumptions.mp4 | 16,023 KB | 12/12/2021 3:34 AM |
3. Test for Significance of the Model (F-Test).mp4 | 10,947 KB | 12/12/2021 3:34 AM |
2. Adjusted R-Squared.mp4 | 38,675 KB | 12/12/2021 3:34 AM |
11. Making Predictions with the Linear Regression.mp4 | 18,152 KB | 12/12/2021 3:34 AM |
10. Dealing with Categorical Data - Dummy Variables.mp4 | 43,780 KB | 12/12/2021 3:34 AM |
1. Multiple Linear Regression.mp4 | 24,447 KB | 12/12/2021 3:34 AM |