A quick reference guide for creating prediction models using R caret.
A quick, hands-on reference guide to R predictive modeling.
Train, Test & Predict
Resampling & Time Slices
Plotting Predictors
Preprocessing
Dummy Variables, Fit Polynomial & Remove Near Zero Variance
Preprocessing with Principal Component Analysis
Predicting with Linear Regression
Multiple Covariates Linear Regression
Classification Tree
Boosting
Random Forest
Linear Discrimination & Naive Bayes
Model Stacking
Forecasting
Unsupervised Simulation
