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Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

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Jupyter Notebooks for the Elements of Statistical Learning (WIP)

It aims to summarize and reproduce the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman.

Currently working the early chapters, I try to implement without frameworks like scikit-learn for showing the algorithms that the textbook introduces to me.

Also starting with the neural networks, I decided to use PyTorch_ which seems less magical (They say that

with GPU support).

.. _PyTorch: //


Use your favorite virtualenv system and install the below dependencies; quite standard ones.

  • numpy
  • scipy
  • matplotlib
  • pandas
  • jupyter
  • pytorch
  • scikit-learn (optional, used in my own articles)

.. code-block:: bash

(esl) $ pip install ipython numpy scipy matplotlib pandas jupyter

# The command below installs pytorch for Python 3.6 without CUDA support. # For other settings, consult with (esl) $ pip install


Just run

jupyter notebook

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