Python Machine Learning Blueprints - Second Edition
by Alexander Combs, Saurabh Chhajed, Michael Roman
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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