Same-category comparison
Name	Rank	Metrics
jbagnato/machine-learning	16,814	Language: Jupyter Notebook Stars: 571 Forks: 729 Description: Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español.
carlvellotti/claude-code-everyone-course	16,826	Language: MDX Stars: 570 Forks: 86 Description: Claude Code for Everyone - Learn Claude Code in Claude Code.
ptrblck/pytorch_misc	16,834	Language: Python Stars: 570 Forks: 66 Description: Code snippets created for the PyTorch discussion board.
huggingface/llm_training_handbook	16,854	Language: Python Stars: 569 Forks: 46 Description: An open collection of methodologies to help with successful training of large language models.
shawroad/NLP_pytorch_project	16,892	Language: Python Stars: 567 Forks: 121 Description: Embedding, NMT, Text_Classification, Text_Generation, NER etc.
alexeygrigorev/mlbookcamp-code	16,899	Language: Jupyter Notebook Stars: 566 Forks: 187 Description: The code from the Machine Learning Bookcamp book.
PacktPublishing/TensorFlow-Machine-Learning-Cookbook	16,939	Language: Python Stars: 564 Forks: 391 Description: Code repository for TensorFlow Machine Learning Cookbook by Packt.
audeering/w2v2-how-to	16,943	Language: Jupyter Notebook Stars: 564 Forks: 49 Description: How to use our public wav2vec2 dimensional emotion model.

Name

Rank

Metrics

16,814

Language:: Jupyter Notebook
Stars:: 571
Forks:: 729
Description:: Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español.

carlvellotti/claude-code-everyone-course

16,826

Language:: MDX
Stars:: 570
Forks:: 86
Description:: Claude Code for Everyone - Learn Claude Code in Claude Code.

ptrblck/pytorch_misc

16,834

Language:: Python
Stars:: 570
Forks:: 66
Description:: Code snippets created for the PyTorch discussion board.

huggingface/llm_training_handbook

16,854

Language:: Python
Stars:: 569
Forks:: 46
Description:: An open collection of methodologies to help with successful training of large language models.

shawroad/NLP_pytorch_project

16,892

Language:: Python
Stars:: 567
Forks:: 121
Description:: Embedding, NMT, Text_Classification, Text_Generation, NER etc.

alexeygrigorev/mlbookcamp-code

16,899

Language:: Jupyter Notebook
Stars:: 566
Forks:: 187
Description:: The code from the Machine Learning Bookcamp book.

PacktPublishing/TensorFlow-Machine-Learning-Cookbook

16,939

Language:: Python
Stars:: 564
Forks:: 391
Description:: Code repository for TensorFlow Machine Learning Cookbook by Packt.

audeering/w2v2-how-to

16,943

Language:: Jupyter Notebook
Stars:: 564
Forks:: 49
Description:: How to use our public wav2vec2 dimensional emotion model.

Key parameters and specifications
Parameter	Value
Language	Jupyter Notebook
Category	Tutorials
Subcategory	ML/AI fundamentals
Stars	568
Forks	272
Contributors	1
Created date	2016-12-07
Updated date	2026-10-08
Stars in 1 day	0
Stars in 7 days	0
Rank	16,873
Previous rank	16,668
Rank change	-205
7-day stars rank	15,775
Previous 7-day stars rank	15,784
7-day stars rank change	9
Total stars rank	17,543
Previous total stars rank	17,514
Total stars rank change	-29

Parameter

Value

Language

Jupyter Notebook

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

Sharing_ISL_python

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ISL_python

An Introduction to Statistical Learning with Applications in PYTHON

Setup for this repository:

Special thanks to Bommy