https://github.com/sdpython/mlstatpy

Mathematics, Algorithmic, Data-Science, Teaching Materials
https://github.com/sdpython/mlstatpy

algorithms data-science mathematics python3 teaching-materials

Last synced: 20 days ago
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Mathematics, Algorithmic, Data-Science, Teaching Materials

• Host: GitHub
• URL: https://github.com/sdpython/mlstatpy
• Owner: sdpython
• License: mit
• Created: 2016-06-18T15:21:42.000Z (over 8 years ago)
• Default Branch: main
• Last Pushed: 2024-10-08T20:50:04.000Z (4 months ago)
• Last Synced: 2024-12-24T03:22:50.883Z (29 days ago)
• Topics: algorithms, data-science, mathematics, python3, teaching-materials
• Language: Jupyter Notebook
• Homepage: https://sdpython.github.io/doc/mlstatpy/dev/
• Size: 36 MB
• Stars: 12
• Watchers: 6
• Forks: 8
• Open Issues: 11
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOGS.rst
  • License: LICENSE.txt

Awesome Lists containing this project

README

        

.. image:: https://github.com/sdpython/sphinx-runpython/raw/main/_doc/_static/logo.png

    :width: 120

mlstatpy: détours mathématiques autour du machine learning

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    :target: https://ci.appveyor.com/project/sdpython/mlstatpy

    :alt: Build Status Windows

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    :alt: MIT License

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Le module contient essentiellement des digressions mathématiques

autour du machine learning. Parmi les choses intéressantes,

une courbe *ROC* avec intervalle de confiance, détection

automatique de segment dans une image, un algorithme

d'autocomplétion, une distance d'édition entre graphes,

des petites choses pour les données de Wikipedia,

un algorithme de conversion d'un arbre de décision en

réseaux de neurones.

The package mostly contains documentation. It also implements

some code rarely needed such as ROC curve with bandwidth,

automated segment detection in a image, some simple autocomplete

algorithm, a graph edit distance, some helpers on Wikipedia data,

an algorithm to convert decision trees into neural network.

* `documentation `_