natnew / Awesome-Data-Science
Carefully curated list of awesome data science resources.
Why this job: name: awesome; says: curated list; topics: awesome-list, awesome
What it does
Welcome to Awesome Data Science! This repository is a curated collection of valuable resources, tools, and tutorials for anyone passionate about the exciting field of data science. Whether you're an aspiring data scientist or an experienced practitioner, you'll find a wealth of information here to enhance your knowledge and skills.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 164
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 36% closed
- 7 still open
- Pull requests
- 3 merged
- 8 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
Topics
- ai
- awesome
- awesome-list
- data
- data-science
- deep-learning
- explainable-ai
- interoperability
- large-scale-machine-learning
- machine-learning
- machine-learning-operations
- ml-operations
Project record
- JobLists and guides
- StatusListed
- Commits55
- Forks27
- Watching5
- Stars in 28 days0
- CreatedOct 4, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026