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PRODID:-//pretalx//global2023.pydata.org//cfp//8UXSEG
BEGIN:VEVENT
UID:pretalx-cfp-D8JXR8@global2023.pydata.org
DTSTART:20231208T183000Z
DTEND:20231208T203000Z
DESCRIPTION:This webinar will introduce machine learning pipelines and disc
 uss their importance in building efficient and robust workflows. It will e
 xplain how pipelines help to prevent data leakage and ensure model stabili
 ty by allowing for proper separation of training\, validation\, and test d
 ata. Through a blend of theory and practice\, it will provide and explain 
 code chunks in Python using well-known open-source packages like scikit-le
 arn (pipeline and column transformers) and feature-engine to ensure a comp
 lete understanding of the .fit()\, .transform()\, and .predict() methods. 
 By the end of this webinar\, the audience will have a solid understanding 
 of the theory behind machine learning pipelines and practical examples of 
 using them effectively in their projects.
DTSTAMP:20250709T214715Z
LOCATION:Machine Learning Track
SUMMARY:Introduction to Machine Learning Pipelines: How to Prevent Data Lea
 kage and Build Efficient Workflows - Cainã Max Couto da Silva
URL:https://global2023.pydata.org/cfp/talk/D8JXR8/
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