<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>scikit-learn</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/3332/feed"/>
    <updated>2026-04-30T23:29:57+00:00</updated>
    <id>https://links.biapy.com/guest/tags/3332/feed</id>
            <entry>
            <id>https://links.biapy.com/links/11176</id>
            <title type="text"><![CDATA[Machine Learning for Beginners - A Curriculum]]></title>
            <link rel="alternate" href="https://github.com/microsoft/ML-For-Beginners" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11176"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all.

Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our AI for Beginners&amp;#039; curriculum. Pair these lessons with our &amp;#039;Data Science for Beginners&amp;#039; curriculum, as well!

Related contents:

- [12 semaines de formation Machine Learning gratos sur GitHub (et en français svp !) @ Korben :fr:](https://korben.info/microsoft-ml-for-beginners-formation-machine-learn.html).]]>
            </summary>
            <updated>2025-12-08T12:43:06+00:00</updated>
        </entry>
    </feed>
