<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Science on Antoine Boucher</title><link>https://antoineboucher.info/CV/blog/tags/data-science/</link><description>Recent content in Data Science on Antoine Boucher</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 30 May 2024 12:00:00 -0400</lastBuildDate><atom:link href="https://antoineboucher.info/CV/blog/tags/data-science/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;As a data enthusiast and LEGO fan, I decided to delve into the world of LEGO using historical data. My goal was to understand the trends, pricing, and characteristics of LEGO sets over time. Using datasets from Rebrickable and analysis tools like Pandas, Matplotlib, and Scikit-Learn, I conducted a comprehensive analysis. Here’s a journey through the history and economics of LEGO sets.&lt;/p&gt;
&lt;h2 id="dataset-overview"&gt;Dataset Overview&lt;/h2&gt;
&lt;p&gt;The datasets used for this analysis include various aspects of LEGO sets, parts, and themes:&lt;/p&gt;</description></item></channel></rss>