An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
An accessible introduction to statistical learning methods with practical R applications for data analysis and modeling.
About This Book
This book provides an accessible overview of statistical learning techniques for analyzing and interpreting data.
It covers a range of methods used for regression, classification, and unsupervised learning.
Examples and applications are implemented in the R programming language to support hands-on learning.
The text is designed for readers seeking a practical foundation in statistical modeling and data analysis.
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