leehanchung / awesome-full-stack-machine-learning-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

Date Created 2019-10-31 (5 years ago)

Commits 89 (last one about a year ago)

Stargazers 448 (3 this week)

Watchers 9 (0 this week)

Forks 98

License cc0-1.0

Ranking

RepositoryStats indexes 610,149 repositories, of these leehanchung/awesome-full-stack-machine-learning-courses is ranked #101,064 (83rd percentile) for total stargazers, and #226,670 for total watchers.

leehanchung/awesome-full-stack-machine-learning-courses is also tagged with popular topics, for these it's ranked: deep-learning (#2,240/8643), machine-learning (#2,194/8206), reinforcement-learning (#322/1370), deep-neural-networks (#170/641), computer-science (#139/466)

Other Information

leehanchung/awesome-full-stack-machine-learning-courses has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

udemy caltech berkeley stanford berkeley-ai deep-learning edx-columbiax computer-science machine-learning columbia-university deep-neural-networks reinforcement-learning berkeley-reinforcement-learning

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

19 commits on the default branch (master) since jan '22

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

We don't have any language data for this repository

It's a mystery

updated: 2025-02-03 @ 12:46pm, id: 218844237 / R_kgDODQtMTQ