Scikit-Learn

⚠ To see the ‘Table of associated records‘ go the bottom, Pag. 2. ( 👩‍🎓 🖥 For free online version, on the image).

A review of the tutorial for research, educational and recommendations.

Unclassified recommendation

🔘 Tutorial page:

Tutorial shell adress: bit.ly/39ed1yh
Tutorial Github adress: github.com/jakevdp/sklearn_tutorial

Summary

1. Preliminaries
2. Introduction to Machine Learning with Scikit-Learn
3. Supervised Learning In-Depth
4. Unsupervised Learning In-Depth
5. Model Validation In-Depth

Author

(Unofficial biography. For informational purposes only).

Jake VanderPlas

Director of Open Software at the University of Washington’s eScience institute, and researches and teaches in a variety of areas, including Astronomy, Astrostatistics, Machine Learning, and Scalable Computation.

Please, thank the author

Thank you very much for this useful information to @jakevdp, via @States_AI_IA #python #datascience #free #ebook #ai #artificialintelligence #thebibleai #openscience #openaccess #thanks

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