This is the code repository for R Data Analysis Projects, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
You’ll start by building a content-based recommendation system, followed by building a project on sentiment analysis with tweets. You’ll implement time-series modeling for anomaly detection, and understand cluster analysis of streaming data. You’ll work through projects on performing efficient market data research, building recommendation systems, and analyzing networks accurately, all provided with easy to follow codes.
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
zero.matrix.gup <- mx.nd.zeros(c(3,3), mx.gpu(0))
Base R must be installed. The code in this book was written using R version 3.4.1 (2017-06-30), single candle, on a Mac OS darwin15.6.0. They should be compatible with Linux and Windows operating systems. RStudio Version 0.99.491 was used as an editor to write and compile R code.
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