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2024-04-30
Book Boost Introduction Boosting XG Gradient II Summary 51.5 41.4
1.2 MB

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Jason Brownlee
XGBoost With Python
Gradient Boosted Trees With XGBoost and scikit-learn
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XGBoost With Python
© Copyright 2016 Jason Brownlee. All Rights Reserved.
Edition: v1.3
Contents
I Introduction 1
1 Welcome 2
1.1 Book Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.2 Requirements For This Book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.3 Your Outcomes From Reading This Book . . . . . . . . . . . . . . . . . . . . . . 4
1.4 What This Book is Not . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
II XGBoost Basics 7
2 A Gentle Introduction to Gradient Boosting 8
2.1 Origin of Boosting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.2 AdaBoost the First Boosting Algorithm . . . . . . . . .


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