<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Classification on DATATWEETS</title><link>https://datatweets.com/tags/classification/</link><description>Recent content in Classification on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2025 Datatweets</copyright><lastBuildDate>Fri, 03 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/classification/index.xml" rel="self" type="application/rss+xml"/><item><title>scikit-learn Overview: One fit/predict API for Every Model</title><link>https://datatweets.com/blog/scikit-learn-overview/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/blog/scikit-learn-overview/</guid><description>A wider tour of scikit-learn than one worked example can give you: the shared fit/predict/transform pattern behind every estimator, a classifier and a preprocessing transformer side by side, and how Pipeline chains them into one reusable object.</description></item></channel></rss>