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scikit-learn course

📢 📢 📢 A new session of the Machine learning in Python with scikit-learn MOOC, is available starting on November 8th, 2023 and will remain open on self-paced mode. Enroll for the full MOOC experience (quiz solutions, executable notebooks, discussion forum, etc ...) !

The MOOC is free and hosted on the FUN-MOOC platform which does not use the student data for any other purpose than improving the educational material.

The static version of the course can be browsed online: https://inria.github.io/scikit-learn-mooc

Course description

The course description can be found here: https://inria.github.io/scikit-learn-mooc/index.html

Follow the course online

A few different ways are available:

Running the notebooks locally

See instructions here

Contributing

See CONTRIBUTING.md

How to cite us

The MOOC material is developed publicly under the CC-BY license.

You can cite us through the project's Zenodo archive using the following DOI: 10.5281/zenodo.7220306.

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Machine learning in Python with scikit-learn MOOC

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  • Jupyter Notebook 56.1%
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  • CSS 0.4%
  • Shell 0.2%
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