ISLR
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Introduction to Statistical Learning
ISLR
Introduction to Statistical Learning: http://www.StatLearning.com
The PDF book is available for free on the author's site above.
Working through the book and the labs.
Our solutions:
- Chapter 2 Solutions
- Chapter 3 Solutions
- Chapter 4 Solutions
- Chapter 5 Solutions
- Chapter 6 Solutions
- Chapter 7 Solutions
- Chapter 8 Solutions
- Chapter 9 Solutions
- Chapter 10 Solutions
Course Slides for Videos
- Chapter 1: Introduction
- Chapter 2: Statistical Learning
- Chapter 3: Linear Regression
- Chapter 4: Classification
- Chapter 5: Resampling Methods
- Chapter 6: Linear Model Selection and Regularization
- Chapter 7: Moving Beyond Linearity
- Chapter 8: Tree-Based Methods
- Chapter 9: Support Vector Machines
- Chapter 10: Unsupervised Learning
Other Solutions
- http://blog.princehonest.com/stat-learning/
- https://github.com/asadoughi/stat-learning/
- https://github.com/ppaquay/IntroStatLearning
- https://github.com/jilmun/ISLR
- https://github.com/KamranMK/ISLR-Solutions
- https://laptrinhx.com/solutions-to-labs-and-excercises-from-an-introduction-to-statistical-learning-as-jupyter-notebooks-1723363054/
- https://altaf-ali.github.io/ISLR/index.html
- https://github.com/evertonjlima/Notebooks
- https://waxworksmath.com/Authors/G_M/James/james.html
Python Solutions
- https://github.com/tdpetrou/Machine-Learning-Books-With-Python/tree/master/Introduction%20to%20Statistical%20Learning
- https://www.franzoni.eu/machine-learning-a-sound-primer/
- https://github.com/JWarmenhoven/ISLR-python
Julia Solutions
- https://github.com/tndoan/ISLR.jl
Machine Learning Articles
Other Math Introductory Books
- http://www.cs.cmu.edu/~zkolter/course/linalg/linalg_notes.pdf
- http://joshua.smcvt.edu/linearalgebra/
- http://vmls-book.stanford.edu/
- https://ses.library.usyd.edu.au/handle/2123/21370
- https://projects.iq.harvard.edu/stat110/home