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UID:pretalx-juliacon2024-B8ACUX@pretalx.com
DTSTART;TZID=CET:20240711T120000
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DESCRIPTION:Many of us know scikit-learn for it's ability to construct pipe
 lines that can do .fit().predict(). It's an amazing feature for sure. But 
 once you dive into the codebase ... you realise that there is just so much
  more. \n\nThis talk will be an attempt at demonstrating some extra featur
 es in scikit-learn\, and it's ecosystem\, that are less common but deserve
  to be in the spotlight. \n\nIn particular I hope to discuss these things 
 that scikit-learn can do:\n\n- sparse datasets and models\n- larger than m
 em
DTSTAMP:20260616T030303Z
LOCATION:Else (1.3)
SUMMARY:Scikit-Learn can do THAT?! - 
URL:https://pretalx.com/juliacon2024/talk/B8ACUX/
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