R: Recipes for Analysis, Visualization and Machine Learning

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning

R: Recipes for Analysis, Visualization and Machine Learning

Viswa Viswanathan et al.

7 customer reviews
Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning
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Book Details

ISBN 139781787289598
Paperback976 pages

Book Description

The R language is a powerful, open source, functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This Learning Path is chock-full of recipes. Literally! It aims to excite you with awesome projects focused on analysis, visualization, and machine learning. We’ll start off with data analysis – this will show you ways to use R to generate professional analysis reports. We’ll then move on to visualizing our data – this provides you with all the guidance needed to get comfortable with data visualization with R. Finally, we’ll move into the world of machine learning – this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction.

This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:

Table of Contents

What You Will Learn

  • Get data into your R environment and prepare it for analysis
  • Perform exploratory data analyses and generate meaningful visualizations of the data
  • Generate various plots in R using the basic R plotting techniques
  • Create presentations and learn the basics of creating apps in R for your audience
  • Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm
  • Visualize associations in various graph formats and find frequent itemset using the ECLAT algorithm
  • Build, tune, and evaluate predictive models with different machine learning packages
  • Incorporate R and Hadoop to solve machine learning problems on big data

Authors

Table of Contents

Book Details

ISBN 139781787289598
Paperback976 pages
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