Lecture 6: Multiple Linear Regression, Polynomial Regression and Model Selection

Key Word(s): Multiple Linear Regression, Feature Selection, Model Selection, Polynomial Regression, Categorical Predictors, Interaction Terms, Collinearity, Hypothesis Testing, Overfitting, Cross-Validation (CV), Information Criteria (AIC/BIC)

Slides

• PDF | Lecture 6: Multiple Linear Regression, Polynomial Regression and Model Selection
• PPTX | Lecture 6: Multiple Linear Regression, Polynomial Regression and Model Selection
• PDF | Standard Section 4: Model selection

Jupyter Notebooks

• Standard Section 4: Model Selection Demo
• Lab 4: Multiple Linear Regression and Polynomial Regression - Student Version
• Lab 4: Multiple Linear Regression and Polynomial Regression - Solutions