Model Selection: Least SquaresExplores model selection in least squares regression, addressing multicollinearity challenges and introducing shrinkage techniques.
Data Representations and ProcessingDiscusses overfitting, model selection, cross-validation, regularization, data representations, and handling imbalanced data in machine learning.
Model Checking and ResidualsExplores model checking and residuals in regression analysis, emphasizing the importance of diagnostics for ensuring model validity.
