<?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 Antoine Boucher</title><link>https://antoineboucher.info/CV/blog/tags/scikit-learn/</link><description>Recent content in Scikit-Learn on Antoine Boucher</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 05 Nov 2026 12:00:00 -0500</lastBuildDate><atom:link href="https://antoineboucher.info/CV/blog/tags/scikit-learn/index.xml" rel="self" type="application/rss+xml"/><item><title>Economics of LEGO Sets with Data Science</title><link>https://antoineboucher.info/CV/blog/posts/economics-lego-data-science/</link><pubDate>Thu, 30 May 2024 12:00:00 -0400</pubDate><guid>https://antoineboucher.info/CV/blog/posts/economics-lego-data-science/</guid><description>&lt;p&gt;I collect LEGO and write Python, so I merged &lt;strong&gt;Rebrickable&lt;/strong&gt; exports with a &lt;strong&gt;BrickEconomy&lt;/strong&gt; scraper to see how sets and themes evolved, and whether a simple model could follow the resale price of a classic set like &lt;strong&gt;001-1&lt;/strong&gt;. The notebooks and scraper live in &lt;strong&gt;&lt;a href="https://github.com/AlgoETS/LegosTracker"&gt;AlgoETS/LegosTracker&lt;/a&gt;&lt;sup class="article-citation"&gt;&lt;a href="#source-1" aria-label="Reference 1"&gt;[1]&lt;/a&gt;&lt;/sup&gt;&lt;/strong&gt;.&lt;/p&gt;</description></item></channel></rss>