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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

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Product type Paperback
Published in Apr 2019
Publisher Wiley
ISBN-13 9781119545637
Length 320 pages
Edition 1st Edition
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Author (1):
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Wei-Meng Lee Wei-Meng Lee
Author Profile Icon Wei-Meng Lee
Wei-Meng Lee
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Table of Contents (16) Chapters Close

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

What Is matplotlib?

As the adage goes, “A picture is worth a thousand words.” This is probably most true in the world of machine learning. No matter how large or how small your dataset, it is often very useful (and many times, essential) that you are able to visualize the data and see the relationships between the various features within it. For example, given a dataset containing a group of students with their family details (such as examination results, family income, educational background of parents, and so forth), you might want to establish a relationship between the students' results with their family income. The best way to do this would be to plot a chart displaying the related data. Once the chart is plotted, you can then use it to draw your own conclusions and determine whether the results have a positive relationship to family income.

In Python, one of the most commonly used tools for plotting is matplotlib. Matplotlib is a Python 2D plotting library that...

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