Fundamentals of Machine learning

An ongoing project to study the fundamental algorithms and ideas used in machine learning, including all the exercises. The topics include linear regression, logistic regression, neural networks, decision trees, ensemble methods. This is based on the coursework provided by Pascal Poupart. The coursework is hosted at Link. It is hosted at Gitlab link.