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Tree models with Scikit-Learn: Great models with little assumptions
Louppe, Gilles
2015PyData Paris 2015
 

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Keywords :
machine learning; scikit-learn; random forests
Abstract :
[en] This talk gives an introduction to tree-based methods, both from a theoretical and practical point of view. It covers decision trees, random forests and boosting estimators, along with concrete examples based on Scikit-Learn about how they work, when they work and why they work.
Disciplines :
Computer science
Author, co-author :
Louppe, Gilles  ;  Université de Liège - ULiège > Form. doct. sciences (infor.)
Language :
English
Title :
Tree models with Scikit-Learn: Great models with little assumptions
Publication date :
03 April 2015
Event name :
PyData Paris 2015
Event place :
Paris, France
Event date :
3 avril 2015
By request :
Yes
Audience :
International
Available on ORBi :
since 05 April 2015

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