Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The Python Workshop

You're reading from   The Python Workshop Learn to code in Python and kickstart your career in software development or data science

Arrow left icon
Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781839218859
Length 608 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (6):
Arrow left icon
Andrew Bird Andrew Bird
Author Profile Icon Andrew Bird
Andrew Bird
Graham Lee Graham Lee
Author Profile Icon Graham Lee
Graham Lee
Corey Wade Corey Wade
Author Profile Icon Corey Wade
Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
Author Profile Icon Dr. Lau Cher Han
Dr. Lau Cher Han
Olivier Pons Olivier Pons
Author Profile Icon Olivier Pons
Olivier Pons
Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
+2 more Show less
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops 2. Python Structures FREE CHAPTER 3. Executing Python – Programs, Algorithms, and Functions 4. Extending Python, Files, Errors, and Graphs 5. Constructing Python – Classes and Methods 6. The Standard Library 7. Becoming Pythonic 8. Software Development 9. Practical Python – Advanced Topics 10. Data Analytics with pandas and NumPy 11. Machine Learning Appendix

Classification Models

The Boston Housing dataset was great for regression because the target column took on continuous values without limit. There are many cases when the target column takes on one or two values, such as TRUE or FALSE, or possibly a grouping of three or more values, such as RED, BLUE, or GREEN. When the target column may be split into distinct categories, the group of machine learning models that you should try are referred to as classification.

To make things interesting, let's load a new dataset used to detect pulsar stars in outer space. Go to https://packt.live/33SD0IM and click on Data Folder. Then, click on HTRU2.zip.

Figure 11.11: Dataset directory on the UCI website

The dataset consists of 17,898 potential pulsar stars in space. But what are these pulsars? Pulsar stars rotate very quickly, so they have periodic light patterns. Radio frequency interference and noise, however, are attributes that make pulsars very hard to detect...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image