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An Introduction to Statistical Learning

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Cover of 'An Introduction to Statistical Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Statistical Learning
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    Chapter 3 Linear Regression
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    Chapter 4 Classification
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    Chapter 5 Resampling Methods
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    Chapter 6 Linear Model Selection and Regularization
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    Chapter 7 Moving Beyond Linearity
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    Chapter 8 Tree-Based Methods
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    Chapter 9 Support Vector Machines
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    Chapter 10 Unsupervised Learning
Attention for Chapter 10: Unsupervised Learning
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