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.

The python environment is managed with poetry and pyenv.

To setup the environment run:

1. Make sure you have pyenv installed on your system, with the pyenv-virtualenv plugin.
2. Run make pyenv. This will install pyhton 3.8.12 on your environment, create a virtual local environment islp and assign it to this repo.
3. Run make jupyter to start an instance of jupyter lab.
4. Open and run the notebooks.

The dependencies can be seen from pyproject.toml under [tool.poetry.dependencies]:

python = "3.8.12"
jupyterlab = "^3.2.4"
pandas = "^1.3.4"
numpy = "^1.21.5"
matplotlib = "^3.5.1"
statsmodels = "^0.13.1"
scikit-learn = "^1.0.1"
seaborn = "^0.11.2"
tensorflow = "^2.7.0"
keras = "^2.7.0"
lifelines = "^0.26.4"

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