milaan9 / Machine_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

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

Commits 93 (last one about a year ago)

Stargazers 186 (0 this week)

Watchers 2 (0 this week)

Forks 178

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RepositoryStats indexes 584,353 repositories, of these milaan9/Machine_Learning_Algorithms_from_Scratch is ranked #188,316 (68th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,345/17,098.

milaan9/Machine_Learning_Algorithms_from_Scratch is also tagged with popular topics, for these it's ranked: machine-learning (#3,438/7926), data-science (#986/2103), machine-learning-algorithms (#121/274)

Other Information

milaan9/Machine_Learning_Algorithms_from_Scratch has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

All Topics

data-science random-forest tutor-milaan9 decision-trees error-functions machine-learning fitting-algorithm matlab4datascience python4datascience frequentist-methods dynamic-time-warping gaussian-naive-bayes naive-bayes-classifier machine-learning-matlab machine-learning-python value-iteration-algorithm machine-learning-algorithms singular-value-decomposition

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

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

updated: 2024-10-23 @ 11:08am, id: 294098130 / R_kgDOEYeU0g