hardikkamboj/An-Introduction-to-Statistical-Learning
A collection of Jupyter notebooks implementing exercises from the textbook 'An Introduction to Statistical Learning' in Python.
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This repository provides solutions to exercises in the popular machine learning textbook by James, Witten, Hastie, and Tibshirani. It translates the R-based examples into Python using Jupyter notebooks, covering supervised learning, classification, resampling methods, regularization, tree-based methods, support vector machines, and unsupervised learning. The content is educational and meant to help Python users learn foundational ML concepts.
Frequently asked
- What is hardikkamboj/An-Introduction-to-Statistical-Learning?
- A collection of Jupyter notebooks implementing exercises from the textbook 'An Introduction to Statistical Learning' in Python.
- Is An-Introduction-to-Statistical-Learning open source?
- Yes — hardikkamboj/An-Introduction-to-Statistical-Learning is an open-source project tracked on heatdrop.
- What language is An-Introduction-to-Statistical-Learning written in?
- hardikkamboj/An-Introduction-to-Statistical-Learning is primarily written in Jupyter Notebook.
- How popular is An-Introduction-to-Statistical-Learning?
- hardikkamboj/An-Introduction-to-Statistical-Learning has 2.5k stars on GitHub.
- Where can I find An-Introduction-to-Statistical-Learning?
- hardikkamboj/An-Introduction-to-Statistical-Learning is on GitHub at https://github.com/hardikkamboj/An-Introduction-to-Statistical-Learning.