April 2017
Beginner to intermediate
358 pages
9h 30m
English
Content preview from Learning Data Mining with Python - Second Edition
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What this book covers
Chapter 1, Getting started with data mining, introduces the technologies we will be using, along with implementing two basic algorithms to get started.
Chapter 2, Classifying with scikit-learn, covers classification, a key form of data mining. You’ll also learn about some structures for making your data mining experimentation easier to perform..
Chapter 3, Predicting Sports Winners with Decisions Trees, introduces two new algorithms, Decision Trees and Random Forests, and uses it to predict sports winners by creating useful features..
Chapter 4, Recommending Movies using Affinity Analysis, looks at the problem of recommending products based on past experience, and introduces the Apriori algorithm.
Chapter 5, Features ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.