This repo contains code to practice starting with random forests in R. Data is not included because of security reasons. It starts by building a basic decision tree followed by a basic bagging and random forest test. Finally there are some hints on using the caret package to analyze random forests, perform cross validation and tune hyperparameters.
-- nothing fancy this is just to get you started
I do not claim correctness by any means (;