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jadianes / data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

Repository stars
621All-time #20,958
Fork
252
Last push
updated 5 years ago
Repository created
since 2015
Guides & collectionsGetting startedJupyter NotebookLicense not declared
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Summarised by AI from the README; the original prevails

Author description: Ways of doing Data Science Engineering and Machine Learning in R and Python

Basic listing based on official public information; functionality has not been independently evaluated.

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  • No license declared: commercial use and redistribution terms are unknown.
  • No pushes for over 6 months (last 2021-04-25); check whether it is maintained.
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Tutorials# data-science# data-science-engineering# data-frame# exploratory-data-analysis# r# python# jupyter# notebook# machine-learning

Star trend

Includes values estimated from GitHub history
62062162110-0710-1210-1710-2210-2711-0111-05
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 11:46 UTC621Source
2026-11-03 08:27 UTC620Source

First collected 2026-11-03Measured at 2026-11-06 11:46 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.