TatevKaren / data-science-popular-algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Date Created 2021-01-01 (4 years ago)

Commits 386 (last one about a year ago)

Stargazers 118 (0 this week)

Watchers 2 (0 this week)

Forks 38

License unknown

Ranking

RepositoryStats indexes 628,089 repositories, of these TatevKaren/data-science-popular-algorithms is ranked #272,668 (57th percentile) for total stargazers, and #479,391 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,655/18,867.

TatevKaren/data-science-popular-algorithms is also tagged with popular topics, for these it's ranked: machine-learning (#4,520/8364), python3 (#1,941/4296), scala (#574/998), datascience (#98/174), recommendation-system (#69/126)

All Topics

lda scala kmeans python3 xgboost lda-model datascience decision-tree machine-learning movie-recommender recommendation-system data-science-portfolio linear-discriminant-analysis

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Recent Commit History

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

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

updated: 2025-02-09 @ 08:05am, id: 326000518 / R_kgDOE25fhg