Algorithms and Models Implementation for introductory courses to Machine Learning. Features Linear Regression, K-Nearest Neighbor, Linear Classifier with Logistic Regression, SVM, NeuralNet and Reinforcement Learning.
Note: Some codes in this repository is developed by faculty members at the University of Toronto. Commercial redistribution is strictly forbidden.