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Python Machine Learning Blueprints - Second Edition
book

Python Machine Learning Blueprints - Second Edition

by Alexander Combs, Saurabh Chhajed, Michael Roman
January 2019
Intermediate to advanced
378 pages
8h 27m
English
Packt Publishing
Content preview from Python Machine Learning Blueprints - Second Edition

What this book covers

Chapter 1, The Python Machine Learning Ecosystem, discusses the features of key libraries and explains how to prepare your environment to best utilize them.

Chapter 2, Build an App to Find Underpriced Apartments, explains how to create a machine learning application that will make finding the right apartment a little bit easier.

Chapter 3, Build an App to Find Cheap Airfares, covers how to build an application that continually monitors fare pricing, checking for anomalous prices that will generate an alert we can quickly act on.

Chapter 4, Forecast the IPO Market Using Logistic Regression, takes a closer look at the IPO market. We'll see how we can use machine learning to help us decide which IPOs are worth a closer ...

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Publisher Resources

ISBN: 9781788994170