This repository is a hands on guide on understanding the inner workings of Linear Regression.
We will go into the theory of linear regression in order to understand its most fundamental concepts.
After that, we will write a basic linear regression model using numpy in python.

This will be a 3 part guide:

1. What is it?
2. How to use it?
3. How does it work?