##Overview
I'm using a small dataset of student test scores and the amount of hours they studied. Intuitively, there must be a relationship right? The more you study, the better your test scores should be. We're going to use linear regression to prove this relationship.
Here are some helpful links:
Gradient descent visualization
Sum of squared distances formula (to calculate our error)
https://spin.atomicobject.com/wp-content/uploads/linear_regression_error1.png
Partial derivative with respect to b and m (to perform gradient descent)
https://spin.atomicobject.com/wp-content/uploads/linear_regression_gradient1.png
##Dependencies
- numpy
Python 2 and 3 both work for this. Use pip to install any dependencies.
##Usage
Just run demo.py
to see the results.