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Python Machine Learning Blueprints

You're reading from   Python Machine Learning Blueprints Put your machine learning concepts to the test by developing real-world smart projects

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788994170
Length 378 pages
Edition 2nd Edition
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Authors (3):
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Michael Roman Michael Roman
Author Profile Icon Michael Roman
Michael Roman
Alexander Combs Alexander Combs
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Alexander Combs
Saurabh Chhajed Saurabh Chhajed
Author Profile Icon Saurabh Chhajed
Saurabh Chhajed
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Table of Contents (13) Chapters Close

Preface 1. The Python Machine Learning Ecosystem FREE CHAPTER 2. Build an App to Find Underpriced Apartments 3. Build an App to Find Cheap Airfares 4. Forecast the IPO Market Using Logistic Regression 5. Create a Custom Newsfeed 6. Predict whether Your Content Will Go Viral 7. Use Machine Learning to Forecast the Stock Market 8. Classifying Images with Convolutional Neural Networks 9. Building a Chatbot 10. Build a Recommendation Engine 11. What's Next? 12. Other Books You May Enjoy

Setting up your machine learning environment

We've covered a number of libraries, and it could be somewhat of a chore to install if you were to do each individually—which you certainly can, since most can be installed with pip, Python's package manager, but I would strongly urge you to go with a prepacked solution such as the Anaconda Python distribution (http://anaconda.org). This allows you to download and install a single executable with all the packages and dependencies handled for you. And since the distribution is targeted to Python scientific stack users, it is essentially a one-and-done solution.

Anaconda also includes a package manager that makes updating your packages a simple task. Simply type conda update <package_name>, and you will be updated to the most recent stable release.

You have been reading a chapter from
Python Machine Learning Blueprints - Second Edition
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781788994170
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