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Python Machine Learning (Wiley)

You're reading from Python Machine Learning (Wiley) Python makes machine learning easy for beginners and experienced developers

Product type Paperback

Published in Apr 2019

Publisher Wiley

ISBN-13 9781119545637

Length 320 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Machine Learning

Author (1):

Wei-Meng Lee

View More author details

Table of Contents (16) Chapters

1. Cover

2. Introduction FREE CHAPTER

3. CHAPTER 1: Introduction to Machine Learning

4. CHAPTER 2: Extending Python Using NumPy

5. CHAPTER 3: Manipulating Tabular Data Using Pandas

6. CHAPTER 4: Data Visualization Using matplotlib

7. CHAPTER 5: Getting Started with Scikit‐learn for Machine Learning

8. CHAPTER 6: Supervised Learning—Linear Regression

9. CHAPTER 7: Supervised Learning—Classification Using Logistic Regression

10. CHAPTER 8: Supervised Learning—Classification Using Support Vector Machines

11. CHAPTER 9: Supervised Learning—Classification Using K‐Nearest Neighbors (KNN)

12. CHAPTER 10: Unsupervised Learning—Clustering Using K‐Means

13. CHAPTER 11: Using Azure Machine Learning Studio

14. CHAPTER 12: Deploying Machine Learning Models

15. Index

16. End User License Agreement

Summary

In this chapter, you learned about the use of NumPy as a way to represent data of the same type. You also learned how to create arrays of different dimensions, as well as how to access data stored within the arrays. An important feature of NumPy arrays is their ability to perform array math very easily and efficiently, without requiring you to write lots of code.

In the next chapter, you will learn about another important library that makes dealing with tabular data easy—Pandas.

The rest of the chapter is locked

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Authors (1)

Wei-Meng Lee

Wei-Meng Lee

Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a technology company specializing in hands-on training on the latest mobile technologies. He has many years of training experience, and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentation. His name regularly appears in online and print publications, such as DevX, MobiForge, and CoDe Magazine.

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