<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>statistics on Ahmed Guecioueur</title><link>/tags/statistics/</link><description>Recent content in statistics on Ahmed Guecioueur</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>&amp;copy; 2023</copyright><lastBuildDate>Sat, 09 Feb 2019 13:10:52 +0800</lastBuildDate><atom:link href="/tags/statistics/index.xml" rel="self" type="application/rss+xml"/><item><title>Supervised forecasting</title><link>/project/pysf/</link><pubDate>Sat, 09 Feb 2019 13:10:52 +0800</pubDate><guid>/project/pysf/</guid><description>&lt;p>At UCL, my MSc dissertation focused on designing new machine learning approaches to tackle the problem of supervised forecasting - the task of forecasting sequential data when multiple replicates are available. I have released the open-source &lt;strong>&lt;a href="https://github.com/ahmedgc/pysf/">pysf&lt;/a>&lt;/strong> package to provide a workflow for building and evaluating supervised forecasting prediction strategies.&lt;/p>
&lt;p>This work won the &lt;a href="https://www.ucl.ac.uk/statistics/">UCL Department of Statistical Science&lt;/a>&amp;rsquo;s MSc Project Prize for 2018. The project is now hosted by the &lt;a href="https://www.turing.ac.uk/">Alan Turing Institute&lt;/a>.&lt;/p></description></item></channel></rss>