Python Machine Learning Cookbook（Second Edition）

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

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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

Getting ready

How to do it…

How it works…

There's more...

See also

Data preprocessing using mean removal

Getting ready

How to do it...

How it works...

There's more...

See also

Data scaling

Getting ready

How to do it...

How it works...

There's more...

See also

Normalization

Getting ready

How to do it...

How it works...

There's more...

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Binarization

Getting ready

How to do it...

How it works...

There's more...

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One-hot encoding

Getting ready

How to do it...

How it works...

There's more...

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Label encoding

Getting ready

How to do it…

How it works...

There's more...

See also

Building a linear regressor

Getting ready

How to do it…

How it works...

There's more...

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Computing regression accuracy

Getting ready

How to do it…

How it works...

There's more...

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Achieving model persistence

Getting ready

How to do it…

How it works...

There's more...

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Building a ridge regressor

Getting ready

How to do it…

How it works...

See also

Building a polynomial regressor

Getting ready

How to do it…

How it works...

There's more...

See also