Assignments written in Python for IEOR E4525 Machine Learning for Operations Research and Financial Engineering (Fall 2020) at Columbia University. Topics in each assignment:
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- Assignment 1: Linear Regression, Naive Bayes and K Nearest Neighbour.
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- Assignment 2: Logistic Regression, Linear Discriminant Analysis, Quadratic Discriminant Analysis, K Nearest Neighbour and Bootstrap Probabilities.
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- Assignment 3: Cross Validation, Lasso Regression and Ridge Regression.
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- Assignment 4: Support Vector Machines, Deep Learning, Neural Networks and PyTorch.