dlab-berkeley / R-Machine-Learning-Legacy

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Date Created 2020-09-25 (4 years ago)

Commits 554 (last one about a year ago)

Stargazers 47 (0 this week)

Watchers 7 (0 this week)

Forks 25

License other

Ranking

RepositoryStats indexes 595,856 repositories, of these dlab-berkeley/R-Machine-Learning-Legacy is ranked #485,516 (19th percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as R, for repositories using this language it is ranked #2,944/3,403.

dlab-berkeley/R-Machine-Learning-Legacy is also tagged with popular topics, for these it's ranked: machine-learning (#6,944/8063), data-science (#1,863/2138), r (#1,540/1687), classification (#463/543)

Other Information

dlab-berkeley/R-Machine-Learning-Legacy has Github issues enabled, there are 6 open issues and 36 closed issues.

All Topics

r rsample regression tidymodels data-science classification machine-learning

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Github watchers over time, collection started in '23

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

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The only known language in this repository is R

updated: 2024-04-22 @ 06:35am, id: 298461368 / R_kgDOEcoouA