RPredict

A quick, hands-on reference guide to R predictive modeling.

Topics

Pre-Processing

• Train, Test & Predict

• Resampling & Time Slices

• Plotting Predictors

• Preprocessing

• Dummy Variables, Fit Polynomial & Remove Near Zero Variance

• Preprocessing with Principal Component Analysis

Prediction Models

• Predicting with Linear Regression

• Multiple Covariates Linear Regression

• Classification Tree

• Boosting

• Random Forest

• Linear Discrimination & Naive Bayes

Manipulating Models

• Model Stacking

• Forecasting

• Unsupervised Simulation