Unsupervized Learning

Principle Component Analysis

Principle Component Regression

Partial Least Squares

K-Means Clustering

Parametric Models

Lasso Regression

Ridge Regression

Elastic Net Regression

Polynomial Splines

Linear Discriminant Analysis

Quadratic Discriminant Analysis

K-Nearest Neighbors

Non-Parametric Models

Regression/Classification Trees

Random Forests + Bagging/Boosting

Support Vector Machines

Neural Networks