Can I read R : recipes for analysis, visualization and machine learning : get savvy with R language and actualize projects aimed at analysis, visualization and machine learning on EtoBox?

R : recipes for analysis, visualization and machine learning : get savvy with R language and actualize projects aimed at analysis, visualization and machine learning by Viswanathan, Viswa, Viswanathan, Shanthi, Gohil, Atmajitsinh, Chiu), Yu-Wei, Chiu (David is a book available to read on EtoBox.

What is R : recipes for analysis, visualization and machine learning : get savvy with R language and actualize projects aimed at analysis, visualization and machine learning about?

<p>Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning<br></p><p>About This Book<br></p><ul> <li>Proficiently analyze data and apply machine learning techniques </li> <li>Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R </li> <li>Construct a predictive model by using a variety of machine learning packages </li></ul><p>Who This Book Is For<br></p><p>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.<br></p><p>What You Will Learn<br></p><ul> <li>Get data into your R environment and prepare it for analysis </li> <li>Perform exploratory data analyses and generate meaningful visualizations of the data </li> <li>Generate various plots in R using the basic R plotting techniques </li> <

Author

Viswanathan, Viswa, Viswanathan, Shanthi, Gohil, Atmajitsinh, Chiu), Yu-Wei, Chiu (David

Publisher

Birmingham, UK: Packt Publishing

Published

2016

Language

EN

ISBN

9781787289598

Subjects

Science, Computer Science, Mathematics