Linear Model Selection and Regularization Private: Data Science Linear Model Selection and Regularization Lesson Content 0% Complete 0/6 Steps Subset Selection Stepwise Selection Cp, AIC, BIC, and Adjusted R^2 Shrinkage Methods (Ridge Regression, The Lasso) Dimension Reduction Methods (An Overview of Principal Components Analysis, Partial Least Squares) Considerations in High Dimensions Previous Lesson Back to Course Next Lesson
