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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

You're reading from   Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838826048
Length 384 pages
Edition 1st Edition
Languages
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Author (1):
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Tarek Amr Tarek Amr
Author Profile Icon Tarek Amr
Tarek Amr
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Supervised Learning
2. Introduction to Machine Learning FREE CHAPTER 3. Making Decisions with Trees 4. Making Decisions with Linear Equations 5. Preparing Your Data 6. Image Processing with Nearest Neighbors 7. Classifying Text Using Naive Bayes 8. Section 2: Advanced Supervised Learning
9. Neural Networks – Here Comes Deep Learning 10. Ensembles – When One Model Is Not Enough 11. The Y is as Important as the X 12. Imbalanced Learning – Not Even 1% Win the Lottery 13. Section 3: Unsupervised Learning and More
14. Clustering – Making Sense of Unlabeled Data 15. Anomaly Detection – Finding Outliers in Data 16. Recommender System – Getting to Know Their Taste 17. Other Books You May Enjoy

Installing the packages you need

It's time to install the packages we will need in this book, but first of all, make sure you have Python installed on your computer. In this book, we will be using Python version 3.6. If your computer comes with Python 2.x installed, then you should upgrade Python to version 3.6 or later. I will show you how to install the required packages using pip, Python's de facto package-management system. If you use other package-management systems, such as Anaconda, you can easily find the equivalent installation commands for each of the following packages online.

To install scikit-learn, run the following command:

          $ pip install --upgrade scikit-learn==0.22
        

I will be using version 0.22 of scikit-learn here. You can add the --userswitch to the pip command to limit the installation to your own directories. This is important if you do not have root access to your machine or if you do not want to install...

You have been reading a chapter from
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Published in: Jul 2020
Publisher: Packt
ISBN-13: 9781838826048
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