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Machine learning in Python with scikit-learn MOOC

Home Page: https://inria.github.io/scikit-learn-mooc

License: Creative Commons Attribution 4.0 International

Shell 0.18% JavaScript 0.14% Python 42.85% CSS 0.38% Makefile 0.15% HTML 0.07% Jupyter Notebook 56.25%

scikit-learn-mooc's Introduction

scikit-learn course

๐Ÿ“ข ๐Ÿ“ข ๐Ÿ“ข 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 (quizz 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.

scikit-learn-mooc's People

Contributors

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