This notebook walks through a basic example of Gaussian Process classification from scratch. Theory and code included. This tutorial follows mostly Rasmussen and Williams as well as sections in Bishops PRML pertaining to the subject.

This was an early attempt of mine to do some more complicated bayesian inference. Forgive any poor code and the pure noteobook implementation This follows the blog post https://winstonsullivan.netlify.app/project/gplr/ .