The Data Science Course 2020 Complete Data Science Bootcamp

/34. Advanced Statistical Methods - Linear Regression with sklearn/12.1 Summary table with p-values.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/12. Creating a Summary Table with p-values.mp4

/34. Advanced Statistical Methods - Linear Regression with sklearn/12. Creating a Summary Table with p-values.srt

/34. Advanced Statistical Methods - Linear Regression with sklearn/11.1 Calculation of P-values.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/14.1 Feature scaling.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/10.1 Feature selection.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/17.1 Feature scaling - exercise.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/19.1 Train - Test split explained.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/5. A Note on Normalization.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/15.1 Feature scaling standardization.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/6.1 Simple linear regression with sklearn.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/9.1 Calculating the Adjusted R-Squared.html

/34. Advanced Statistical Methods - Linear Regression with sklearn/10. Feature Selection (F-regression).mp4

/34. Advanced Statistical Methods - Linear Regression with sklearn/19. Train - Test Split Explained.mp4

/34. Advanced Statistical Methods - Linear Regression with sklearn/19. Train - Test Split Explained.srt

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