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This repository contains clear explanations and annotations of all of the python notebooks taught in the Machine Learning A-Z Course offered by Udemy. They are the perfect resource for someone looking to refresh their ML basics and for beginners who are experiencing the fun of Machine Learning for the very first time.

All of the annotations are my own work and were made to help programmers (including myself) better understand the course tutorials.

1. Data Preprocessing Tools
2. Simple Linear Regression
3. Multiple Linear Regression