文件名称：统计学习的要素：Trevor Hastie，Robert Tibshirani和Jerome Friedman为“统计学习的要素”撰写的笔记和代码（jupyter笔记本）
文件大小：3.04MB
文件格式：ZIP
更新时间：2024-02-25 07:57:14
python machine-learning statistics jupyter-notebook statistical-learning
统计学习的要素：Trevor Hastie，Robert Tibshirani和Jerome Friedman为“统计学习的要素”撰写的笔记和代码（jupyter笔记本）
【文件预览】：
the-elements-of-statistical-learning-master
----chapter-04()
--------4.3.3-reduced-rank-linear-discriminant-analysis.ipynb(4KB)
--------4.2-linear-regression-of-an-indicator-matrix.ipynb(3KB)
--------4.3-linear-discriminant-analysis.ipynb(4KB)
--------4.4.1-fitting-logistic-regression-models.ipynb(6KB)
--------4.4-logistic-regression.ipynb(1KB)
--------4.1-introduction.ipynb(2KB)
--------4.4.3-quadratic-approximations-and-inference.ipynb(2KB)
--------4.4.4-L-1-regularized-logistic-regression.ipynb(2KB)
--------4.4.2-example-south-african-heart-disease.ipynb(410KB)
--------4.3.2-computations-for-LDA.ipynb(1KB)
--------4.3.1-regularized-discriminant-analysis.ipynb(1KB)
----.gitignore(19B)
----requirements.txt(49B)
----data()
--------SAheart()
--------.DS_Store(6KB)
--------zipcode()
--------prostate()
----LICENSE(1KB)
----chapter-11()
--------11.7-example-zip-code-data.ipynb(252KB)
--------images()
----README.md(11KB)
----chapter-02()
--------2.9-model-selection-and-the-bias-variance-tradeoff.ipynb(3KB)
--------2.8-classes-of-restricted-estimators.ipynb(6KB)
--------2.4-statistical-decision-theory.ipynb(52KB)
--------exercise-solutions.ipynb(22KB)
--------2.6-statistical-models-supervised-learning-and-function-approximation.ipynb(6KB)
--------2.3-least-squares-and-nearest-neighbors.ipynb(134KB)
--------2.5-local-methods-in-high-dimensions.ipynb(35KB)
--------2.7-structured-regression-models.ipynb(2KB)
----chapter-03()
--------3.2.2-the-gauss-markov-theorem.ipynb(4KB)
--------3.2.4-multiple-outputs.ipynb(2KB)
--------3.2.1-example-prostate-cancer.ipynb(16KB)
--------3.5-methods-using-derived-input-directions.ipynb(5KB)
--------3.1-introduction.ipynb(1023B)
--------3.4.2-the-lasso.ipynb(2KB)
--------3.4.1-ridge-regression.ipynb(12KB)
--------3.4.4-discussion-subset-selection-ridge-regression-and-the-lasso.ipynb(621B)
--------3.2.3-multiple-regression-from-simple-multivariate-regression.ipynb(9KB)
--------3.3-subset-selection.ipynb(4KB)
--------3.4.4-least-angle-regression.ipynb(7KB)
--------3.4-shrinkage-methods.ipynb(821B)
--------3.2-linear-regression-models-and-least-squares.ipynb(64KB)