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Descriptions An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) bookAn Introduction to Statistical Learning This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.,
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