An Introduction To Statistical Learning
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Springer International Publishing AG
An Introduction to Statistical Learning: With Applications in Python
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An Introduction to Statistical Learning: With Applications in R
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An Introduction to Statistical Learning: with Applications in R
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This book presents some of the most important modeling and prediction techniques, along with relevant applications
Topics include linear regression, classification, re-sampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented.
Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform
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Springer
An Introduction to Statistical Learning: with Applications in Python
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CreateSpace Independent Publishing Platform
An Introduction to Statistical Learning
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An Elementary Introduction to Statistical Learning Theory by Sanjeev Kulkarni (2011-08-02)
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An Introduction to Statistical Learning. With Applications in R
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SAS Institute
Introduction to Statistical and Machine Learning Methods for Data Science
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Technics Publications
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
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Morgan Kaufmann
Introduction to Statistical Machine Learning
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