EuroSciPy<p>🚨 Tutorial at <a href="https://fosstodon.org/tags/EuroSciPy2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroSciPy2025</span></a>: Skrub – Machine Learning for DataFrames</p><p>Skrub bridges the gap between your Pandas/Polars tables and scikit-learn pipelines, making preprocessing of tabular data:</p><p>Easier, Consistent, Less error-prone</p><p>Presented by Guillaume Lemaitre, Jérôme Dockès & Riccardo Cappuzzo.</p><p>📍 Kraków | August 18–22<br>📆 <a href="https://euroscipy.org/schedule" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">euroscipy.org/schedule</span><span class="invisible"></span></a><br>🎟️ <a href="https://euroscipy.org/tickets/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">euroscipy.org/tickets/</span><span class="invisible"></span></a> <br><a href="https://fosstodon.org/tags/Skrub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Skrub</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://fosstodon.org/tags/ScientificPython" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScientificPython</span></a></p>