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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

The IPO market

Before we jump in and begin modeling, let's first discuss what an IPO, or initial public offering, is, and what research tells us about this market. After that, we'll discuss a number of strategies that we can apply.

What is an IPO?

An IPO is the process whereby a private company becomes a public company. Public offerings raise capital for the company and give the general public an opportunity to invest in the company by buying its shares.

Though there are variations in how this occurs, in a typical offering, a company enlists the help of one or more investment banks to underwrite their offering. This means that the banks make a guarantee to the company that they will purchase all of the shares being...

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