<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Feature Selection on Jean-Baptiste Attié</title><link>https://jean-baptiste-attie.com/tags/feature-selection/</link><description>Recent content in Feature Selection on Jean-Baptiste Attié</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 01 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jean-baptiste-attie.com/tags/feature-selection/index.xml" rel="self" type="application/rss+xml"/><item><title>Interpretable Machine Learning for Credit Risk</title><link>https://jean-baptiste-attie.com/projects/credit-default-scoring/</link><pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate><guid>https://jean-baptiste-attie.com/projects/credit-default-scoring/</guid><description>Building a scoring model to predict customer default on a 30-million-row, 250-variable mixed-type dataset.</description></item></channel></rss>