Machine-Learning-Assignments

Assignments written in Python for IEOR E4525 Machine Learning for Operations Research and Financial Engineering (Fall 2020) at Columbia University. Topics in each assignment:

• 1. Assignment 1: Linear Regression, Naive Bayes and K Nearest Neighbour.
• 2. Assignment 2: Logistic Regression, Linear Discriminant Analysis, Quadratic Discriminant Analysis, K Nearest Neighbour and Bootstrap Probabilities.
• 3. Assignment 3: Cross Validation, Lasso Regression and Ridge Regression.
• 4. Assignment 4: Support Vector Machines, Deep Learning, Neural Networks and PyTorch.