What it does
This is a free course of lessons on "classic" machine learning: the methods computers use to find patterns in data and make predictions, such as sorting things into groups or forecasting numbers.
Each lesson has a short quiz before and after, written instructions, a project to build, a challenge and an assignment. The lessons use data from many parts of the world as a theme. Most use the Python language, and some are also in R.
The lessons have been translated into many languages, some have short videos, and there are tips for teachers who want to use it in class.
Who it's for
Students, teachers and curious beginners who want a structured, hands-on introduction to machine learning.
Can I use it without coding?
With some setup. You can read the lessons in a browser, but doing the projects means setting up Python or using a cloud coding space. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Web browser
- Computer
- An ordinary computer is fine
- API key
- Not needed
Try it
- Fork the course to your own GitHub account, or open it in a browser-based coding space.
- Start each lesson with the short quiz, then read the lesson and do the activities.
- Finish with the follow-up quiz, the challenge and the assignment.
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (MIT): Very permissive: free to use, change and share, including for business.
- More on staying safe
Where people are talking about it
- ML for Beginners GitHubHacker News · Nov 2023
- Machine Learning for Beginners – A CurriculumHacker News · Jul 2021