This public repository contains the materilas covered in the "Machine Learning with Python: Tree based methods" webinar.
It is a single jupyter notebook file with discussion and code examples about:
- Regression Trees
- Classification Trees
- Random Forests
- Gradient Boosting Methods
To run this in you machine you should:
- clone the repo
- install the dependencies:
numpy,sklearn,matplotlib,pandasby running the following in your command line:pip install numpy sklearn matplotlib pandas