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

Author/Creator:

Viswanathan, Viswa, author

Publication/Creation:

Birmingham, England ; Mumbai, [India] : Packt Publishing, 2016

Resource Type:

Book

Edition:

1st edition

More Details

Additional/Related Title Information

Full Title:

R : recipes for analysis, visualization and machine learning : get savvy with R language and actualize projects aimed at analysis, visualization and machine learning / Viswa Viswanathan [and four others].

Related Names

Additional Author/Creators:

Viswanathan, Viswa, author

Subjects/Genre

Subjects:

R (Computer program language)
Machine learning

Description/Summary

Summary:

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 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: R Dat...

Language:

English

Physical Type/Description:

1 online resource (958 pages)

General Note:

"A course in three modules"--Title page.

Additional Identifiers

Catalog ID (MMSID):

9936953406202486

ISBN:

1-78728-879-X