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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

Retrieving fare data with advanced web scraping

In previous chapters, we've seen how to use the Requests library to retrieve web pages. As I've said before, it is a fantastic tool, but unfortunately, it won't work for us here. The page we want to scrape is entirely AJAX-based. Asynchronous JavaScript (AJAX) is a method for retrieving data from a server without having to reload the page. What this means for us is that we'll need to use a browser to retrieve the data. While that might sound like it would require an enormous amount of overhead, there are two libraries that, when used together, make it a lightweight task.

The two libraries are Selenium and ChromeDriver. Selenium is a powerful tool for automating web browsers, and ChromeDriver is a browser. Why use ChromeDriver rather than Firefox or Chrome itself? ChromeDriver is what's known as a headless...

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