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 2 years ago)

Stargazers 189 (0 this week)

Watchers 1 (0 this week)

Forks 179

License mit

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RepositoryStats indexes 635,117 repositories, of these milaan9/Machine_Learning_Algorithms_from_Scratch is ranked #196,498 (69th percentile) for total stargazers, and #559,231 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,624/19,174.

milaan9/Machine_Learning_Algorithms_from_Scratch is also tagged with popular topics, for these it's ranked: machine-learning (#3,556/8434), data-science (#1,017/2225), machine-learning-algorithms (#125/293)

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: 2025-03-22 @ 06:41am, id: 294098130 / R_kgDOEYeU0g