Coding the popular regression tree algorithm in Python and explaining what’s under the hood
This article aims to present to the readers the code and the intuition behind the regression tree algorithm in Python. I find looking through the code of an algorithm a very good educational tool to understand what is happening under the hood. I hope that the readers will this useful too.
The algorithm that is explained is the regression tree algorithm. It is used to model the relationship between a continuous variable Y and a set of features X:
Y = f(X)
The function f is a set of rules of features and feature values that does the “best” job of explaining the Y variable given features X.
#machine-learning #python #data-science