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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1. Multiple Linear Regression.mp424,447 KB12/12/2021 3:34 AM
10. Dealing with Categorical Data - Dummy Variables.mp443,780 KB12/12/2021 3:34 AM
11. Making Predictions with the Linear Regression.mp418,152 KB12/12/2021 3:34 AM
2. Adjusted R-Squared.mp438,675 KB12/12/2021 3:34 AM
3. Test for Significance of the Model (F-Test).mp410,947 KB12/12/2021 3:34 AM
4. OLS Assumptions.mp416,023 KB12/12/2021 3:34 AM
5. A1 - Linearity.mp410,821 KB12/12/2021 3:34 AM
6. A2 - No Endogeneity.mp430,384 KB12/12/2021 3:34 AM
7. A3 - Normality and Homoscedasticity.mp432,068 KB12/12/2021 3:34 AM
8. A4 - No Autocorrelation.mp429,693 KB12/12/2021 3:34 AM
9. A5 - No Multicollinearity.mp423,145 KB12/12/2021 3:34 AM