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Dancing with Python

You're reading from   Dancing with Python Learn to code with Python and Quantum Computing

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801077859
Length 744 pages
Edition 1st Edition
Languages
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Author (1):
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Robert S. Sutor Robert S. Sutor
Author Profile Icon Robert S. Sutor
Robert S. Sutor
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Toc

Table of Contents (29) Chapters Close

Preface 1. Chapter 1: Doing the Things That Coders Do FREE CHAPTER 2. Part I: Getting to Know Python
3. Chapter 2: Working with Expressions 4. Chapter 3: Collecting Things Together 5. Chapter 4: Stringing You Along 6. Chapter 5: Computing and Calculating 7. Chapter 6: Defining and Using Functions 8. Chapter 7: Organizing Objects into Classes 9. Chapter 8: Working with Files 10. PART II: Algorithms and Circuits
11. Chapter 9: Understanding Gates and Circuits 12. Chapter 10: Optimizing and Testing Your Code 13. Chapter 11: Searching for the Quantum Improvement 14. PART III: Advanced Features and Libraries
15. Chapter 12: Searching and Changing Text 16. Chapter 13: Creating Plots and Charts 17. Chapter 14: Analyzing Data 18. Chapter 15: Learning, Briefly 19. References
20. Other Books You May Enjoy
21. Index
Appendices
1. Appendix A: Tools 2. Appendix B: Staying Current 3. Appendix C: The Complete UniPoly Class
4. Appendix D: The Complete Guitar Class Hierarchy
5. Appendix E: Notices 6. Appendix F: Production Notes

15.6 Classification

Classification provides answers to questions like the following:

  • Wear the blue, white, or yellow shirt?
  • Buy or lease the car?
  • Hire or don’t hire the person?
  • Watch or don’t watch the movie?
  • Take or don’t take the class?
  • Read the email or move it to the spam folder?
  • Issue the credit card or not?

Classification looks at an observation and places it in one of several classes. In the first question, the observation is the situation for which I am choosing the shirt and my past behavior. There are three possible shirts, and so three classes. The other questions require binary classification because they each have only two possible answers, “yes” or “no.”

The general classification discipline of statistics and machine learning does not limit itself to two classes, though binary classification...

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