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Python 3 for Machine Learning

Frontmatter

CONTENTS

Preface

Chapter 1 Introduction to Python 3

Chapter 2 Conditional Logic, Loops, and Functions

Chapter 3 Python Collections

Chapter 4 Introduction to NumPy and Pandas

Chapter 5 Introduction to Machine Learning

Chapter 6 Classifiers in Machine Learning

Chapter 7 Natural Language Processing and Reinforcement Learning

Appendix A Introduction to Regular Expressions

Appendix B Introduction to Keras

Appendix C Introduction to TF 2

Index

CompanionFiles.zip

housing.zip

This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The sixth chapter is devoted to machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on NLP and RL. Keras-based code samples are included to supplement the theoretical discussion.

This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced...

Format

Python 3 for Machine Learning

Oswald Campesato

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