statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
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Download Latest Version (.zip)- notebooks.yml
- __init__.py
- Adaboost.ipynb
- adaboost.py
- __init__.py
- decision_tree.py
- DT.ipynb
- dt.py
- mytree.pdf
- 2026-revival-release-plan.md
- issue-triage-2026.md
- __init__.py
- em.ipynb
- em.py
- __init__.py
- KNN.ipynb
- knn.py
- __init__.py
- least_sqaure_method.ipynb
- least_squares.py
- README.md
- __init__.py
- logistic_regression.py
- LR.ipynb
- __init__.py
- GaussianNB.ipynb
- naive_bayes.py
- __init__.py
- Iris_perceptron.ipynb
- perceptron.py
- README.md
- execute_notebooks.py
- validate_notebooks.py
- __init__.py
- support-vector-machine.ipynb
- svm.py
- test_adaboost.py
- test_decision_tree.py
- test_em.py
- test_knn.py
- test_least_squares.py
- test_logistic_regression.py
- test_naive_bayes.py
- test_perceptron.py
- test_svm.py
- .gitignore
- CHANGELOG.md
- CONTRIBUTING.md
- LICENSE
- pyproject.toml
- README.md
- uv.lock
# Installation Guide
1. Get the code
git clone https://github.com/wzyonggege/statistical-learning-method
Downloads the entire project code from GitHub to your computer.
cd statistical-learning-method
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
uv run python -m pytest
Runs the Python script (or module).
uv run jupyter lab
Type this command into your terminal and run it.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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