Alternatives à R for Data Science by Hadley Wickham and Garrett Grolemund
Looking for more depth or specific areas in data science with R? Explore advanced programming, text mining, statistical learning, graphical techniques, or peer-reviewed machine learning research. Options like 'Advanced R', 'Text Mining with R', and 'R Graphics Cookbook' cater to different needs within the R ecosystem.
A comprehensive guide for advanced R programming.
Advanced R offers in-depth guidance on programming practices and package development, complementing R for Data Science's data analysis focus
Text analysis guide using R and tidytext package.
Text Mining with R focuses on text analysis techniques, offering specialized functions for natural language processing tasks.
A comprehensive guide to statistical learning with applications in R and Python.
An Introduction to Statistical Learning offers practical R programming examples and exercises, complementing theoretical knowledge with real
A practical guide for generating high-quality R graphs.
R Graphics Cookbook offers practical recipes for creating visualizations in R, complementing data science workflows with Hadley Wickham's to
JMLR is a peer-reviewed open-access journal for machine learning research.
Journal Of Machine Learning Research offers free access to academic papers, while R for Data Science focuses on practical data science tutor