https://github.com/dgkim5360/the-elements-of-statistical-learning-notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
https://github.com/dgkim5360/the-elements-of-statistical-learning-notebooks

jupyter-notebooks machine-learning matplotlib neural-network python3 pytorch scipy statistical-learning textbook

Last synced: 5 days ago
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Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

• Host: GitHub
• URL: https://github.com/dgkim5360/the-elements-of-statistical-learning-notebooks
• Owner: dgkim5360
• Created: 2017-12-01T09:05:11.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-05-05T04:14:12.000Z (over 6 years ago)
• Last Synced: 2024-10-31T08:42:04.659Z (12 days ago)
• Topics: jupyter-notebooks, machine-learning, matplotlib, neural-network, python3, pytorch, scipy, statistical-learning, textbook
• Language: Jupyter Notebook
• Size: 28.4 MB
• Stars: 284
• Watchers: 17
• Forks: 126
• Open Issues: 1
• Metadata Files:
  • Readme: README.rst

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README

        
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Jupyter Notebooks for the Elements of Statistical Learning (WIP)

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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 ``torch.Tensor`` is ``numpy.ndarray`` with GPU support).

.. _PyTorch: //pytorch.org

Installation

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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 pytorch.org.

   (esl) $ pip install http://download.pytorch.org/whl/cpu/torch-0.3.1-cp36-cp36m-linux_x86_64.whl

Execution

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Just run ``jupyter notebook``.