UC Berkeley CS189 Coding Assignments

This repository collects coding assignments completed for UC Berkeley’s CS189: Introduction to Machine Learning.
Each homework focuses on implementing core machine learning algorithms and applying them to real-world datasets.

Assignments

• Homework 1 – Support Vector Machines & Feature Engineering

  • Main repository
  • Extended project: Enhancing Digit Recognition with SVM & HOG Features (MNIST)

• Homework 3 – QDA & LDA Classifiers

  • Repository

• Homework 4 – Regression Methods

  • Repository

• Homework 5 – Decision Trees

  • Repository

• Homework 7 – Movie Recommender System (Latent Semantic Analysis)

  • Repository