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R Recipes for Analysis, Visualization and Machine Learning: Recipes for Analysis, Visualization and Machine Learning: Explore recipes to build project
Contributor(s): Viswanathan, Viswa (Author), Viswanathan, Shanthi (Author), Gohil, Atmajitsinh (Author)
ISBN: 1787289591     ISBN-13: 9781787289598
Publisher: Packt Publishing
OUR PRICE:   $85.49  
Product Type: Paperback - Other Formats
Published: November 2016
Qty:
Additional Information
BISAC Categories:
- Computers | Data Visualization
- Computers | Databases - General
Physical Information: 1.92" H x 7.5" W x 9.25" (3.62 lbs) 976 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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

Key Features

  • 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

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:

  • R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan
  • R Data Visualization Cookbook by Atmajitsinh Gohil
  • Machine Learning with R Cookbook by Yu-Wei, Chiu (David Chiu)

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