CS189-259A-Projects

Name: CS189-259A-Projects
Author: fadibenz

Active 16

About this project

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

From the project README on GitHub

Jupyter Notebook

Stars: 16
Forks: 11
Last push: 16 Sept 2025

View on GitHub

Add this badge to your README

Show that your project is listed on Made in Algeria.

[![Made in Algeria](https://www.madeinalgeria.dev/badge/cs189-259a-projects.svg)](https://www.madeinalgeria.dev/projects/cs189-259a-projects)

Related projects

pythoncode-tutorials

x4nth055/pythoncode-tutorials

The Python Code Tutorials

3kJupyter NotebookEducationActive

isl-python

0xhadyy/isl-python

Documenting my study of" An Introduction to Statistical Learning with Python " book - theory, code, exercises, notes and my progress all the way through

467Jupyter NotebookData & AIActive

deeplearning.ai

dzlab/deeplearning.ai

Notes for courses by deeplearning.ai

98Jupyter NotebookEducationActive

Machine-Learning-Basics

sambelkacem/machine-learning-basics

Tutorial on Machine Learning Basics with Python

79Jupyter NotebookEducation

Applied-Data-Science-Course-in-the-Oil-and-Gas-Industry

berrehalbadr/applied-data-science-course-in-the-oil-and-gas-industry

Data science and machine learning are fast-paced emerging technologies across all industries including oil and gas. The oil and gas industry has taken big steps to adopt these technologies to make its exploration and production operations more efficient. This course is tailored for oil and gas industry professionals who are interested to implement data analysis and machine learning in their project development and operations.

48Jupyter NotebookEducation

ESI_TALN

projeduc/esi_taln

Cours du module "Traitement automatique du langage naturel"

48Jupyter NotebookEducation