更新时间:2021-06-24 15:43:05
coverpage
Title Page
Copyright and Credits
Python Machine Learning Cookbook Second Edition
About Packt
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Contributors
About the author
About the reviewer
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Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Sections
Getting ready
How to do it…
How it works…
There's more…
See also
Get in touch
Reviews
The Realm of Supervised Learning
Technical requirements
Introduction
Array creation in Python
There's more...
Data preprocessing using mean removal
How to do it...
How it works...
Data scaling
Normalization
Binarization
One-hot encoding
Label encoding
Building a linear regressor
Computing regression accuracy
Achieving model persistence
Building a ridge regressor
Building a polynomial regressor