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Python Machine Learning Cookbook, - Second Edition

You're reading from  Python Machine Learning Cookbook, - Second Edition

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789808452
Pages 642 pages
Edition 2nd Edition
Languages
Authors (2):
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (18) Chapters close

Preface 1. The Realm of Supervised Learning 2. Constructing a Classifier 3. Predictive Modeling 4. Clustering with Unsupervised Learning 5. Visualizing Data 6. Building Recommendation Engines 7. Analyzing Text Data 8. Speech Recognition 9. Dissecting Time Series and Sequential Data 10. Analyzing Image Content 11. Biometric Face Recognition 12. Reinforcement Learning Techniques 13. Deep Neural Networks 14. Unsupervised Representation Learning 15. Automated Machine Learning and Transfer Learning 16. Unlocking Production Issues 17. Other Books You May Enjoy

Analyzing stock market data

The stock market has always been a very popular topic; this is because stock market trends involve a truly impressive turnover. The interest that this topic arouses is clearly linked to the opportunity to get rich through good forecasting by a stock market title. A positive difference between the purchased stock price and that of the sold stock price entails a gain on the part of the investor. But, as we know, the performance of the stock market depends on multiple factors.

Getting ready

In this recipe, we'll look at how to analyze the stock price of a very popular company: I am referring to Amazon, the US e-commerce company, based in Seattle, Washington, which is the largest internet company...

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