Skip to content

This repository contains materials and projects from the "Intro to Machine Learning" course at the Hebrew University. It covers fundamental concepts, algorithms, and practical applications in machine learning, including supervised and unsupervised learning, model evaluation, and feature engineering.

Notifications You must be signed in to change notification settings

ilankolker/Intro-to-Machine-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

24 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Intro to Machine Learning πŸ“š

This repository contains materials and projects from the "Intro to Machine Learning" course at Hebrew University. It covers fundamental concepts, algorithms, and practical applications in machine learning, including:

  • Supervised Learning πŸ€–
  • Unsupervised Learning 🧩
  • Model Evaluation πŸ“Š
  • Feature Engineering πŸ”§

About

This repository contains materials and projects from the "Intro to Machine Learning" course at the Hebrew University. It covers fundamental concepts, algorithms, and practical applications in machine learning, including supervised and unsupervised learning, model evaluation, and feature engineering.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages