Data

Tools

Indexes

Applications

Experiments

Open Source Science

scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

https://github.com/inria/scikit-learn-mooc

Science Score: 75.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    2 of 33 committers (6.1%) from academic institutions
  • ✓
    Institutional organization owner
    Organization inria has institutional domain (www.inria.fr)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.1%) to scientific vocabulary

Keywords

machine-learning mooc python scikit-learn

Keywords from Contributors

caching memoization multiprocessing parallel-computing threading neuroimaging jax closember mvpa fmri
Last synced: 6 months ago · JSON representation ·

Repository

Machine learning in Python with scikit-learn MOOC

Basic Info
Statistics
  • Stars: 1,255
  • Watchers: 29
  • Forks: 567
  • Open Issues: 45
  • Releases: 1
Topics
machine-learning mooc python scikit-learn
Created almost 6 years ago · Last pushed 7 months ago
Metadata Files
Readme Contributing License Citation

README.md

scikit-learn course

This is the source code for the Machine learning in Python with scikit-learn MOOC. Enroll for the full MOOC experience (quiz solutions, executable notebooks, discussion forum, etc ...) !

The MOOC is free and hosted on the FUN-MOOC platform which does not use the student data for any other purpose than improving the educational material.

The static version of the course can be browsed online: https://inria.github.io/scikit-learn-mooc

Course description

The course description can be found here: https://inria.github.io/scikit-learn-mooc/index.html

Follow the course online

A few different ways are available: - Launch an online notebook environment using Binder - Browse website generated with Jupyter Book

Running the notebooks locally

See instructions here

Contributing

See CONTRIBUTING.md

How to cite us

The MOOC material is developed publicly under the CC-BY license.

You can cite us through the project's Zenodo archive using the following DOI: 10.5281/zenodo.7220306.

Owner

  • Name: Inria
  • Login: INRIA
  • Kind: organization
  • Email: Nicolas.Rougier@inria.fr
  • Location: France

Inria, the French national research institute for the digital sciences

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this content, please cite it as below."
authors:
  - name: "The scikit-learn MOOC developers"
title: "scikit-learn MOOC"
version: latest
doi: https://doi.org/10.5281/zenodo.7220306
url: "https://github.com/INRIA/scikit-learn-mooc"

GitHub Events

Total
  • Issues event: 35
  • Watch event: 215
  • Delete event: 2
  • Issue comment event: 83
  • Push event: 88
  • Pull request event: 92
  • Pull request review event: 110
  • Pull request review comment event: 78
  • Fork event: 69
  • Create event: 1
Last Year
  • Issues event: 35
  • Watch event: 215
  • Delete event: 2
  • Issue comment event: 83
  • Push event: 88
  • Pull request event: 92
  • Pull request review event: 110
  • Pull request review comment event: 78
  • Fork event: 69
  • Create event: 1

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 1,275
  • Total Committers: 33
  • Avg Commits per committer: 38.636
  • Development Distribution Score (DDS): 0.678
Past Year
  • Commits: 38
  • Committers: 11
  • Avg Commits per committer: 3.455
  • Development Distribution Score (DDS): 0.605
Top Committers
Name Email Commits
Loïc Estève l****e@y****m 410
Guillaume Lemaitre g****8@g****m 327
Olivier Grisel o****l@e****g 189
Arturo Amor 8****Q 162
Gael Varoquaux g****x@n****g 100
Lilian l****n@b****r 16
Benoit Rospars b****s 8
Thomas Schmitt t****s@g****m 7
Peter Steinbach p****h@h****e 7
Lucy Liu j****6@g****m 6
Bruno P. Kinoshita k****w 5
HackMD n****y@h****o 5
ph4ge 6****e 4
Frits Hermans p****t@f****l 3
Auguste Baum 5****m 3
ArturoAmorQ a****z@p****u 3
PatriOr 1****r 2
Alexandre Boucaud 3****d 2
ACCakut 7****t 2
parmentelat t****t@i****r 1
mehrdad mohammadian 4****v 1
alagarrigue 3****e 1
Till Korten w****r@k****t 1
Sylvain Combettes 4****m 1
Shane P s****s@h****m 1
SebastienMelo 1****o 1
Pierre p****q@g****m 1
Michael Notter m****r@h****m 1
Jérémie du Boisberranger 3****b 1
David Cooper d****r@g****m 1
and 3 more...
Committer Domains (Top 20 + Academic)
korten.at: 1 inria.fr: 1 polytechnique.edu: 1 fritshermans.nl: 1 hackmd.io: 1 hzdr.de: 1 boulard.fr: 1 normalesup.org: 1 ensta.org: 1 ymail.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 42
  • Total pull requests: 195
  • Average time to close issues: 12 months
  • Average time to close pull requests: 29 days
  • Total issue authors: 11
  • Total pull request authors: 23
  • Average comments per issue: 1.83
  • Average comments per pull request: 0.84
  • Merged pull requests: 158
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 19
  • Pull requests: 89
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 20 days
  • Issue authors: 7
  • Pull request authors: 15
  • Average comments per issue: 1.79
  • Average comments per pull request: 0.75
  • Merged pull requests: 59
  • Bot issues: 0
  • Bot pull requests: 1
View more stats
Top Authors
Issue Authors
  • ArturoAmorQ (21)
  • ogrisel (5)
  • fritshermans (4)
  • lesteve (3)
  • NTVinh132004 (1)
  • SebastienMelo (1)
  • darigovresearch (1)
  • glemaitre (1)
  • brospars (1)
  • Ericaelikem (1)
  • psteinb (1)
Pull Request Authors
  • ArturoAmorQ (100)
  • ogrisel (22)
  • SebastienMelo (19)
  • lesteve (11)
  • fritshermans (10)
  • glemaitre (7)
  • psteinb (7)
  • augustebaum (6)
  • daniel-m-campos (4)
  • ACCakut (4)
  • SpiderCoop (2)
  • sylvaincom (2)
  • f-hafner (2)
  • student-ChestaVashishtha (2)
  • thawn (2)
Top Labels
Issue Labels
video (4) good first issue (3) infrastructure (1)
Pull Request Labels
dependencies (2)

Dependencies

.github/workflows/deploy-gh-pages.yml actions
  • actions/cache v2 composite
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • peaceiris/actions-gh-pages v3.6.1 composite
.github/workflows/jupyter-book-pr-preview.yml actions
  • actions/setup-node v3 composite
  • dawidd6/action-download-artifact v2 composite
  • myrotvorets/set-commit-status-action 1.1.6 composite
requirements-dev.txt pypi
  • IPython * development
  • beautifulsoup4 * development
  • jupyter-book >=0.11 development
  • jupytext * development
  • matplotlib * development
  • pandas >=1 development
  • plotly * development
  • scikit-learn >=1.1.1 development
  • seaborn * development
requirements.txt pypi
  • IPython *
  • jupyterlab *
  • jupytext *
  • matplotlib *
  • notebook *
  • pandas >=1
  • plotly *
  • scikit-learn >=1.1.1
  • seaborn *
.github/workflows/formatting.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
.binder/environment.yml pypi
environment.yml pypi
pyproject.toml pypi