This Repo contains projects from CS-461-Machine Learning Principles
Topics include linear models for classification and regression, support vector machines, regularization and model selection, and introduction to structured prediction and deep learning. Application examples are taken from areas like information retrieval, natural language processing, computer vision and others.
For all projects, included are the neccessary data files, the python notebook file, and the regular python file.