ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A 12-week, 26-lesson curriculum from Microsoft covering classical machine learning with scikit-learn, built around hands-on projects rather than theory dumps.
From the README
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytime12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML-For-Beginners has 88.2k stars on GitHub. It has been forked 21.5k times. ML-For-Beginners is written mainly in Jupyter Notebook. It has been in active development since 2021. ML-For-Beginners is available under the MIT license. Its main topics are data-science, education, machine-learning, machine-learning-algorithms.
Read the full guideWhat is ML-For-Beginners?
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Is ML-For-Beginners open source?
ML-For-Beginners is an open-source project. It is released under the MIT license.
Is ML-For-Beginners free?
Yes. ML-For-Beginners is free and open source — you can use, modify and self-host it.
What license does ML-For-Beginners use?
ML-For-Beginners is available under the MIT license.
What language is ML-For-Beginners written in?
ML-For-Beginners is written mainly in Jupyter Notebook.
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