March 2016
Beginner to intermediate
340 pages
7h 20m
English
Content preview from R Machine Learning By ExampleBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
Social network analysis is one the trending topics in the world of data science. As we have seen throughout the chapter, these platforms not only provide us with ways to connect but they also present a unique opportunity to study human dynamics at a global scale. Through this chapter, we have learned some interesting techniques. We started off by understanding data mining in the social network context followed by the importance of visualizations. We focused on Twitter and understood different objects and APIs to manipulate them. We used various packages from R, such as TwitteR and TM, to connect, collect, and manipulate data for our analysis. We used data from Twitter to learn about frequency throughout. Finally, we presented some of the ...
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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.