VuBacktracking / Coursera-Machine-Learning-Specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

Date Created 2023-07-04 (about a year ago)

Commits 321 (last one about a year ago)

Stargazers 30 (0 this week)

Watchers 2 (0 this week)

Forks 17

License mit

Ranking

RepositoryStats indexes 617,578 repositories, of these VuBacktracking/Coursera-Machine-Learning-Specialization is ranked #588,149 (5th percentile) for total stargazers, and #493,904 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #17,159/18,408.

VuBacktracking/Coursera-Machine-Learning-Specialization is also tagged with popular topics, for these it's ranked: python (#22,275/22983), machine-learning (#8,012/8268), tensorflow (#2,256/2286), neural-network (#1,094/1123)

All Topics

python xgboost andrew-ng tensorflow decision-trees neural-network gradient-descent machine-learning linear-regression softmax-regression logistic-regression supervised-learning unsupervised-learning coursera-specialization andrew-ng-machine-learning

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

No issues have been posted

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2025-02-13 @ 05:54am, id: 662019976 / R_kgDOJ3WfiA