Statistical learning has taken off in the recent years, and people are quite happy to just import them, apply them to some data, and call it a day. Not me, I want to apply the statistical learning methods from scratch and build them from the ground up. This repository is a bunch of ipy notebooks and other accesory files to learn how these statistical learning methods acutally work.
To see how to make this gif, and implement gradient descent for linear regression, check out the linear regression notebook.