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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu)
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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)
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)
- 1. Module 1
- 2. Module 2
- 3. Module 3
- Titel:R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
- Autor:Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu)
- Originaler Titel:R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text.
- ISBN:9781787289598, 9781787289598
- Veröffentlichungsdatum:2016-11-24
- Format:E-Book
- Artikel-ID: e_3cig
- Verleger: Packt Publishing
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