This repository contains the homework solutions for CMU course Introduction to Machine Learning (10601 2018 Fall). All coding parts are completed in Python3.
- Homework 1: Background Material
- Homework 2: Decision Trees
- Homework 3: KNN, Perceptron, Linear Regression
- Homework 4: Logistic Regression
- Homework 5: Neural Networks
- Homework 6: Generative Models
- Homework 7: Hidden Markov Models
- Homework 8: Reinforcement Learning
- Homework 9: SVMs, K-Means, PCA, Boosting