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An Introduction to Statistical Learning

with Applications in R

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Focusing on the principles of statistical learning, this book provides a comprehensive overview of key concepts and techniques used in data analysis. It emphasizes practical applications and includes real-world examples to illustrate methods such as regression, classification, and resampling. Designed for readers with a background in statistics and some programming knowledge, it balances theoretical foundations with hands-on exercises, making it an essential resource for anyone looking to deepen their understanding of statistical modeling and machine learning.

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An Introduction to Statistical Learning, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

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2021
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