April 2017
Beginner to intermediate
358 pages
9h 30m
English
Content preview from Learning Data Mining with Python - Second Edition
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Recommending Movies Using Affinity Analysis
In this chapter, we will look at affinity analysis which determines when objects occur frequently together. This is also colloquially called market basket analysis, after one of the common use cases - determining when items are purchased together frequently in a store.
In Chapter 3, Predicting Sports Winners with Decision Trees, we looked at an object as a focus and used features to describe that object. In this chapter, the data has a different form. We have transactions where the objects of interest (movies, in this chapter) are used within those transactions in some way. The aim is to discover when objects occur simultaneously. In a case where we wish to work out when two movies are recommended ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.