Machine Learning Decision Tree w Bagging Implementation

https://docs.google.com/document/d/1dw_kCWJv_WjaM9C-3Hvuna2rREuLzHWOajnhppyGpp0/edit?usp=sharing

This week I've implemented a decision tree algorithm that splits upon correlation creates a regressor based upon an input set of training data. I've also implemented bagging that uses randomized datasets with replacement to smooth out potential overfitting problems over many trees.