Python 3 for Machine Learning
eBook - ePub

Python 3 for Machine Learning

Oswald Campesato

  1. 364 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Python 3 for Machine Learning

Oswald Campesato

Book details
Table of contents
Citations

About This Book

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. The book also contains separate appendices for regular expressions, Keras, and TensorFlow 2. Features:

  • Provides the reader with basic Python 3 programming concepts related to machine learning
  • Includes separate appendices for regular expressions, Keras, and TensorFlow 2

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Table of contents

  1. Cover
  2. License, Disclaimer of Liability, and Limited Warranty
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Chapter 1 Introduction to Python 3
  8. Chapter 2 Conditional Logic, Loops, and Functions
  9. Chapter 3 Python Collections
  10. Chapter 4 Introduction to NumPy and Pandas
  11. Chapter 5 Introduction to Machine Learning
  12. Chapter 6 Classifiers in Machine Learning
  13. Chapter 7 Natural Language Processing and Reinforcement Learning
  14. Appendix A Introduction to Regular Expressions
  15. Appendix B Introduction to Keras
  16. Appendix C Introduction to TF 2
  17. Index