ISLR

An Introduction to Statistical Learning

Regression, classification, resampling, trees, SVMs and unsupervised learning — with exercises.

44 notes

Chapter 1 — Introduction

  1. Introduction to Statistical Learning ISLR · Chapter 1 — Introduction ISLR

Chapter 2 — Statistical Learning

  1. What Is Statistical Learning? ISLR · Chapter 2 — Statistical Learning ISLR
  2. Assessing Model Accuracy ISLR · Chapter 2 — Statistical Learning ISLR
  3. Statistical Learning: Conceptual Exercises ISLR · Chapter 2 — Statistical Learning ISLR
  4. Statistical Learning: Applied Exercises ISLR · Chapter 2 — Statistical Learning ISLR

Chapter 3 — Linear Regression

  1. Simple Linear Regression ISLR · Chapter 3 — Linear Regression ISLR
  2. Multiple Linear Regression ISLR · Chapter 3 — Linear Regression ISLR
  3. Other Considerations in the Regression Model ISLR · Chapter 3 — Linear Regression ISLR
  4. Linear Regression: Conceptual Exercises ISLR · Chapter 3 — Linear Regression ISLR
  5. Linear Regression: Applied Exercises ISLR · Chapter 3 — Linear Regression ISLR

Chapter 4 — Classification

  1. Logistic Regression ISLR · Chapter 4 — Classification ISLR
  2. Linear Discriminant Analysis ISLR · Chapter 4 — Classification ISLR
  3. Classification: Conceptual Exercises ISLR · Chapter 4 — Classification ISLR
  4. Classification: Applied Exercises ISLR · Chapter 4 — Classification ISLR

Chapter 5 — Resampling Methods

  1. Cross-Validation ISLR · Chapter 5 — Resampling Methods ISLR
  2. The Bootstrap ISLR · Chapter 5 — Resampling Methods ISLR
  3. Resampling Methods: Conceptual Exercises ISLR · Chapter 5 — Resampling Methods ISLR
  4. Resampling Methods: Applied Exercises ISLR · Chapter 5 — Resampling Methods ISLR

Chapter 6 — Linear Model Selection and Regularization

  1. Subset Selection ISLR · Chapter 6 — Linear Model Selection and Regularization ISLR
  2. Shrinkage Methods ISLR · Chapter 6 — Linear Model Selection and Regularization ISLR
  3. Dimension Reduction Methods ISLR · Chapter 6 — Linear Model Selection and Regularization ISLR
  4. Linear Model Selection and Regularization: Conceptual Exercises ISLR · Chapter 6 — Linear Model Selection and Regularization ISLR
  5. Linear Model Selection and Regularization: Applied Exercises ISLR · Chapter 6 — Linear Model Selection and Regularization ISLR

Chapter 7 — Moving Beyond Linearity

  1. Polynomial Regression, Step Functions, Basis Functions ISLR · Chapter 7 — Moving Beyond Linearity ISLR
  2. Regression Splines ISLR · Chapter 7 — Moving Beyond Linearity ISLR
  3. Smoothing Splines ISLR · Chapter 7 — Moving Beyond Linearity ISLR
  4. Local Regression, Generalized Additive Models ISLR · Chapter 7 — Moving Beyond Linearity ISLR
  5. Moving Beyond Linearity: Conceptual Exercises ISLR · Chapter 7 — Moving Beyond Linearity ISLR
  6. Moving Beyond Linearity: Applied Exercises ISLR · Chapter 7 — Moving Beyond Linearity ISLR

Chapter 8 — Tree-Based Methods

  1. Decision Trees ISLR · Chapter 8 — Tree-Based Methods ISLR
  2. Bagging, Random Forests, Boosting ISLR · Chapter 8 — Tree-Based Methods ISLR
  3. Tree-Based Methods: Conceptual Exercises ISLR · Chapter 8 — Tree-Based Methods ISLR
  4. Tree-Based Methods: Applied Exercises ISLR · Chapter 8 — Tree-Based Methods ISLR

Chapter 9 — Support Vector Machines

  1. Maximal Margin Classifier ISLR · Chapter 9 — Support Vector Machines ISLR
  2. Support Vector Classifiers ISLR · Chapter 9 — Support Vector Machines ISLR
  3. Support Vector Machines and Kernels ISLR · Chapter 9 — Support Vector Machines ISLR
  4. Support Vector Machines: Conceptual Exercises ISLR · Chapter 9 — Support Vector Machines ISLR
  5. Support Vector Machines: Applied Exercises ISLR · Chapter 9 — Support Vector Machines ISLR

Chapter 10 — Unsupervised Learning

  1. Principal Components Analysis ISLR · Chapter 10 — Unsupervised Learning ISLR
  2. Principal Components Analysis: More on PCA ISLR · Chapter 10 — Unsupervised Learning ISLR
  3. K-Means Clustering ISLR · Chapter 10 — Unsupervised Learning ISLR
  4. Hierarchical Clustering ISLR · Chapter 10 — Unsupervised Learning ISLR
  5. Unsupervised Learning: Conceptual Exercises ISLR · Chapter 10 — Unsupervised Learning ISLR
  6. Unsupervised Learning: Applied Exercises ISLR · Chapter 10 — Unsupervised Learning ISLR