scikit-learn is a Python module for machine learning built on top of
SciPy and distributed under the 3-Clause BSD license.
The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the AUTHORS.rst file for a complete list of contributors.
It is currently maintained by a team of volunteers.
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Recently added scikit-learn resources
As a beginner, you may be looking for a way to get a solid understanding of machine learning that’s not only rigorous and practical, but also concise and fast.. Give this article a read...Article Added by sakimjan // sinxloud.com // 3 months ago
An introduction to Python machine learning model deployment operations (MLOps) using Flask, Docker, Kubernetes and Seldon-Core.Tutorial Added by AlexIoannides // alexioannides.com // 3 months ago
Save yourself the countless hours I spent reading the scikit-learn release notes, and read the detailed guide to how I updated my code from scikit-learn 0.16 & Python 2.7 to scikit-learn 0.19.1 & Python 3.6!Tutorial Added by justmarkham // www.dataschool.io // 11 months ago