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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

Summary

In this chapter, we've looked at the inner workings of the stock market and explored a number of ways to approach utilizing machine learning in a trading strategy. There is no doubt the material in this chapter could fill a book itself. We even failed to cover some of the most important aspects of trading, such as portfolio construction, risk mitigation, and money management. These are critical components to any strategy, perhaps even more important than trade signals.

Hopefully, this will serve as a jumping-off point for your own explorations, but again, I caution you that beating the market is a nearly impossible game—one in which you are competing against the brightest minds in the world. If you do decide to try, I wish you the best of luck. Just remember that I warned you if it doesn't turn out like you hoped!

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