Viswanathan V., Viswanathan S. R: Recipes for Analysis, Visualization and Machine Learning

Packt Publishing, 2016. — 1919 p. — ASIN B01N7AE091.Proficiently analyze data and apply machine learning techniques
Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R
Construct a predictive model by using a variety of machine learning packagesWho This Book Is ForThis Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R and is written for new and intermediate R users interested in learning. This Learning Path also provides in-depth insights into professional techniques for analysis, visualization, and machine learning with R – it will help you increase your R expertise, regardless of your level of experience.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