Author Description

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book • 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 packages Who This Book Is For This 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 In Detail 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 pro