1.1_Examples_ESL.htm ... Examples mentioned in chapter 1 of ESL
1.2_SimulationStudy.htm ... kNN vs Linear Regression
2.1_Linear_Reg.htm ... Linear Regression with Boston Housing Data
3.1_Diabetes_Data_with_Lasso.htm ... Diabetes Data with Lasso
3.2_Ridge_Lasso.htm ... Ridge and Lasso using glmnet
3.3_Variable_Selection_Toy.htm ... Examples of Variable Selection
3.4_Variable_Selection.htm ... Variable Selection with Bostion Housing Data
4.1_Ensemble_Trees_for_Regression.htm ... Ensemble Trees for Regression
4.2_GBM_for_Regression.htm ... GBM for Regression
4.3_Regression_Tree.htm ... Regression Trees with rpart
5.1_Local_Regression.htm ... Local Regression with faraway
5.2_Polynomial_Regression.htm ... Polynomial Regression with ISLR
5.3_Regression_Splines.htm ... Regression_Splines with birthweight data
5.4_Smoothing_Splines.htm ... Smoothing_Splines with splines
6.1_Clustering.htm ... Multidimensional scaling and clustering
7.1_MixtureModel_Clustering.htm ... Model-based Clustering
7.2_LDA.htm ... Text Mining with JSS Abstracts
7.3_HMM.htm ... Hidden Markov Models
9.1_QDA_LDA_FDA.htm ... QDA, LDA, and FDA
9.2_NaiveBayes_klaR_Predict.htm ... Naive Bayes in klaR
10.1_Logistic_Regression.htm ... Logistic Regression
10.2_Logistic_Regression_Splines.htm ... Logistic Regression with Splines
12.1_Boosting.htm ... Boosting