dlab-berkeley / Python-Machine-Learning

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.

Date Created 2017-04-15 (7 years ago)

Commits 70 (last one about a month ago)

Stargazers 80 (0 this week)

Watchers 14 (0 this week)

Forks 68

License other

Ranking

RepositoryStats indexes 585,332 repositories, of these dlab-berkeley/Python-Machine-Learning is ranked #337,851 (42nd percentile) for total stargazers, and #155,085 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,394/17,144.

dlab-berkeley/Python-Machine-Learning is also tagged with popular topics, for these it's ranked: python (#14,405/22032), machine-learning (#5,299/7939), classification (#347/540), scikit-learn (#254/350)

Other Information

dlab-berkeley/Python-Machine-Learning has 2 open pull requests on Github, 18 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 24 open issues and 24 closed issues.

All Topics

python auto-ml clustering regression scikit-learn classification machine-learning

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Recent Commit History

37 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-11-22 @ 11:44am, id: 88379868 / R_kgDOBUSR3A