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10-601's Introduction

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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

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