<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Feature Engineering on Allan Eloy Olivito</title><link>https://olivitoallan.space/tags/feature-engineering/</link><description>Recent content in Feature Engineering on Allan Eloy Olivito</description><generator>Hugo -- gohugo.io</generator><language>en-US</language><copyright>© 2026 Allan Eloy Olivito</copyright><lastBuildDate>Wed, 19 Aug 2026 14:35:00 -0300</lastBuildDate><atom:link href="https://olivitoallan.space/tags/feature-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>How to explain orbital decay to a linear regression</title><link>https://olivitoallan.space/posts/explaining-orbital-decay-to-a-linear-regression/</link><pubDate>Wed, 19 Aug 2026 14:35:00 -0300</pubDate><guid>https://olivitoallan.space/posts/explaining-orbital-decay-to-a-linear-regression/</guid><description>A satellite in low orbit is slowly falling, and there is a classical formula that predicts it. I wanted to know whether the simplest model in machine learning could do better, and the answer turned out to depend entirely on what I chose to tell it.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://olivitoallan.space/posts/explaining-orbital-decay-to-a-linear-regression/featured.png"/></item></channel></rss>