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: 5 months 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 9 years ago)
- Default Branch: main
- Last Pushed: 2025-03-06T13:16:36.000Z (9 months ago)
- Last Synced: 2025-04-14T00:34:43.416Z (7 months ago)
- Topics: algorithms, data-science, mathematics, python3, teaching-materials
- Language: Jupyter Notebook
- Homepage: https://sdpython.github.io/doc/mlstatpy/dev/
- Size: 36 MB
- Stars: 13
- Watchers: 4
- Forks: 8
- Open Issues: 10
-
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
==========================================================
.. image:: https://ci.appveyor.com/api/projects/status/5env33qptorgshaq?svg=true
:target: https://ci.appveyor.com/project/sdpython/mlstatpy
:alt: Build Status Windows
.. image:: https://circleci.com/gh/sdpython/mlstatpy/tree/main.svg?style=svg
:target: https://circleci.com/gh/sdpython/mlstatpy/tree/main
.. image:: https://badge.fury.io/py/mlstatpy.svg
:target: https://pypi.org/project/mlstatpy/
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
:alt: MIT License
:target: https://opensource.org/license/MIT/
.. image:: https://codecov.io/github/sdpython/mlstatpy/coverage.svg
:target: https://codecov.io/github/sdpython/mlstatpy/
.. image:: http://img.shields.io/github/issues/sdpython/mlstatpy.png
:alt: GitHub Issues
:target: https://github.com/sdpython/mlstatpy/issues
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 `_