Applied Machine LearningIntroduces applied machine learning concepts such as data collection, feature engineering, model selection, and performance evaluation metrics.
Model Selection: Least SquaresExplores model selection in least squares regression, addressing multicollinearity challenges and introducing shrinkage techniques.