In my previous blog post, Random Forest: An intuitive and an analytical introduction (part 1: Decision trees), I discussed the theory behind decision trees and was deliberately technical because I believe that understanding the methods used is a key to making good predictions. It is however not enough to have a theoretical knowledge of a particular... Continue Reading →