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Title An introduction to machine learning with Scikit-Learn
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Author(s) Dr. LOUPPE, Gilles (speaker) (CERN)
Corporate author(s) CERN. Geneva
Imprint 2015-11-12. - Streaming video.
Series (LPCC Workshops)
(Data Science @ LHC 2015 Workshop)
Lecture note on 2015-11-12T15:00:00
Subject category LPCC Workshops
Abstract This tutorial gives an introduction to the scientific ecosystem for data analysis and machine learning in Python. After a short introduction of machine learning concepts, we will demonstrate on High Energy Physics data how a basic supervised learning analysis can be carried out using the Scikit-Learn library. Topics covered include data loading facilities and data representation, supervised learning algorithms, pipelines, model selection and evaluation, and model introspection.
Copyright/License © 2015-2024 CERN
Submitted by michelangelo.mangano@cern.ch

 


 Record created 2015-11-14, last modified 2022-11-02
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