This repository contains the work I have completed for the Statistical Machine Learning Course PSTAT 231 at UCSB.
All code has been written in R.
Linear Regression, Cross Validation, and Dealing with missing values
KNN, Decision Trees and Pruning, Logistic Regression, ROC Curve, Variable Standardization and Discretization, LDA/QDA
Logistic Regression, Decision Trees, ROC Curve, Clustering (Kmeans and Hierarchical), PCA
Bootstrap, Eigenfaces, Polynomial Logistic Regression, Boosting, Bagging, Random Forests, SVM