An Introduction to Statistical Learning: with Applications in R
Springer (9781071614174)
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Introduction to Statistical Learning with Applications in Python by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
Explore machine learning fundamentals through clear theory, practical examples, and Python code, guiding readers from basic concepts to advanced techniques in regression, classification, and model evaluation
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An Introduction to Statistical Learning: with Applications in R
(9781461471370) - Dimensions: 157.48 x 238.76 x 25.4mm | 884.5g - Edition statement: 1st ed. 2013, Corr. 7th printing 2017 - Format: 426 pages - Publication date: 01 Sep - ISBN: 9781461471370 - Languages: English | Introduction to Statistical
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An Introduction to Statistical Learning: with Applications in R
Springer (9781071614174)
From (2 Deals)29.54 USD
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Gareth James An Introduction to Statistical Learning: with Applications in R
A concise, practical guide that introduces key concepts of statistical learning and demonstrates their implementation using R, making complex techniques accessible for beginners and practitioners alike.
From (2 Deals)24.99 USD
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Extreme Value Statistical Modeling: An Introduction by Coles and Stuart
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Gareth James An Introduction to Statistical Learning: with Applications in R
A concise, practical guide that introduces key concepts of statistical learning and demonstrates their implementation using R, making complex techniques accessible for beginners and practitioners alike.
From (1 Deals)54.99 GBP
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