This is a repository containing coursework for my graduate degree in mathematics.
This folder contains all of the probem sets from my introductory course in machine learning. These include basic concepts from machine learning including K-nearest neighbors, logistic regression, support vector machines, perceptrons, XGBoosted/CatBoosted trees, and clustering methods.
This folder contains all of the projects that I have done for my coursework in deep learning. All of the course-work for this course is in the form of bi-weekly reports which are self guided projects which we turn into the professor every week.