<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scikit-Learn on Pendragon AI</title><link>https://www.pendragonai.com/tags/scikit-learn/</link><description>Recent content in Scikit-Learn on Pendragon AI</description><generator>Hugo</generator><language>en-us</language><copyright>Andre Oporto 2020 -</copyright><lastBuildDate>Tue, 02 Mar 2021 19:17:53 +0000</lastBuildDate><atom:link href="https://www.pendragonai.com/tags/scikit-learn/index.xml" rel="self" type="application/rss+xml"/><item><title>Three Tips for Learning AI and Machine Learning</title><link>https://www.pendragonai.com/three-tips-for-learning-ai-and-machine-learning/</link><pubDate>Tue, 02 Mar 2021 19:17:53 +0000</pubDate><guid>https://www.pendragonai.com/three-tips-for-learning-ai-and-machine-learning/</guid><description>You don&amp;rsquo;t need to spend a lot to learn AI and ML right now&amp;hellip;</description></item><item><title>Announcing PTMLib – Pendragon Tools for Machine Learning</title><link>https://www.pendragonai.com/announcing-ptmlib-pendragon-tools-for-machine-learning/</link><pubDate>Thu, 04 Feb 2021 21:56:05 +0000</pubDate><guid>https://www.pendragonai.com/announcing-ptmlib-pendragon-tools-for-machine-learning/</guid><description>PTMLib is a set of utilities that I have built and used while working with Machine Learning frameworks such as Scikit-Learn and TensorFlow.</description></item></channel></rss>