Introduction

This documentation summarises various machine learning techniques in Python. I have cut away the mathematics behind it so that one can, learn can understand the key concepts behind machine learning, without feeling overwhelmed.

While they cover the entire process of machine learning, only classical models are introduced. Neural networks & other important concepts like model deployment are not covered here.

I have two accompanying websites to fill in those gaps:

• Neural Networks (WIP)
• AI Engineering

A lot of the content are compiled from various resources, so please cite them appropriately if you are using.