An Introduction to Statistical Learning with Applications in R 2nd Edition book (9781071614174) is a systematic and user-friendly study book for anybody who wishes to learn statistical modeling and machine learning methods with the help of the R language. Well received by students, educators, and experts, the book presents a practical study resource for learning important statistical procedures that play a pivotal role in data science, analytics, and applied studies.

This 2nd edition of An Introduction to Statistical Learning with Applications in R has been revised comprehensively so as to encompass new examples, new data sets, and new approaches. With a discussion of important concepts like linear regression, classification, resampling techniques, tree-based techniques, support vector machines, and unsupervised learning, the book combines theory and coding in R in an interactive manner so as to make learning interesting and rewarding.

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