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Sharing_ISL_python

An Introduction to Statistical Learning with Applications in PYTHON

TutorialsML/AI fundamentalsJupyter Notebook
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创建于 2016-12-07 · 更新于 2026-10-08 · 今日第 16873 名
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qx0731/Sharing_ISL_python 排名第 16,873，有 568 个星标。

同类别比较

qx0731/Sharing_ISL_python 排名第 16,873，此处有 8 个同类条目；huggingface/llm_training_handbook 排名第 16,854。

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关键参数与规格
关键参数与规格
参数值
语言Jupyter Notebook
类别Tutorials
子类别ML/AI fundamentals
星标数568
分叉数272
贡献者1
创建日期2016-12-07
更新日期2026-10-08
1 天星标数0
7 天星标数0
排名16,873
上次排名16,668
排名变化-205
7 天星标排名15,775
上次 7 天星标排名15,784
7 天星标排名变化9
总星标排名17,543
上次总星标排名17,514
总星标排名变化-29
README 摘录

ISL_python An Introduction to Statistical Learning with Applications in PYTHON I love the book > by Gareth James • Daniela Witten • Trevor Hastie and Robert Tibshirani. This book has been super helpful for me. In this repository, I have implemented the same/similar functionality in Python. The code is in a script format to show the thought process. Hope this could help this book reach more broad audience. *Don't let the language barriers stop you from exploring something fun and useful

. In 2nd Edition, the authors introduced a R library ISLR2 for all the dataset used in the book. 3 math random collections itertools Special thanks to Bommy Reference:

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记录了多少星标和分叉？

qx0731/Sharing_ISL_python 有 568 个星标和 272 个分叉。

仓库排名是多少？

qx0731/Sharing_ISL_python 排名第 16,873。

记录的语言和类别是什么？

qx0731/Sharing_ISL_python 有 568 个星标，语言为 Jupyter Notebook，类别为 Tutorials。

哪个仓库排名最接近？

qx0731/Sharing_ISL_python 与 huggingface/llm_training_handbook 比较，后者排名第 16,854，有 569 个星标。

README

ISL_python

An Introduction to Statistical Learning with Applications in PYTHON

I love the book << An Introduction to Statistical Learning with Applications in R>> by Gareth James • Daniela Witten • Trevor Hastie and Robert Tibshirani. This book has been super helpful for me.

In this repository, I have implemented the same/similar functionality in Python. The code is in a script format to show the thought process. Hope this could help this book reach more broad audience. Don't let the language barriers stop you from exploring something fun and useful.

Please refer https://www.statlearning.com/ for more details. In 2nd Edition, the authors introduced a R library ISLR2 for all the dataset used in the book.

Setup for this repository:

  • Python==3.6.2
  • ipykernal==4.10.0
  • numpy==1.19.2
  • matplotlib==3.3.4
  • pandas==1.1.5
  • statsmodels==0.12.2
  • scikit-learn==0.21.1
  • patsy==0.5.1
  • scipy==1.5.2
  • seaborn==0.11.2
  • json==2.0.9
  • tensorflow==2.0.0
  • keras==2.3.1
  • lifelines==0.26.3
  • math
  • random
  • collections
  • itertools

Special thanks to Bommy

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Reference: https://www.asciiart.eu/animals/dogs

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