khuyentran1401/reproducible-data-science
Tutorials on creating a reproducible and maintainable data science project
This project provides practical guidance and Python tools to help data scientists organize their work. It takes your raw data, code, and models, and shows you how to structure them into robust, repeatable workflows. The output is a well-organized data science project that consistently produces the same results and is easy for others to understand and update.
149 stars. No commits in the last 6 months.
Use this if you are a data scientist struggling to manage complex projects, ensure consistent results, or collaborate effectively with a team.
Not ideal if you are looking for a theoretical overview of data science principles rather than practical, tool-focused implementation strategies.
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149
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35
Language
Jupyter Notebook
License
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Last pushed
Jun 20, 2022
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