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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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Toc

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

Create a Custom Newsfeed

I read a lot. Some might even say compulsively. I've been known to consume more than a hundred articles on some days. But despite this, I frequently find myself searching for more to read. I suffer from this sneaking suspicion that I have missed something interesting, and will forever suffer a gap in my knowledge!

If you suffer from similar symptoms, fear not, because in this chapter, I'm going to reveal one simple trick to finding all the articles you want to read without having to dig through the dozens that you don't.

By the end of this chapter, you'll have learned how to build a system that understands your taste in news, and will send you a personally tailored newsletter each day.

Here's what we'll cover in this chapter:

  • Creating a supervised training set with the Pocket app
  • Leveraging the Pocket API to retrieve stories...
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