A
awesome-datascience
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
★29.8kstars
MIT
Updated: Today
📋 Project at a Glance
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What's this?Learning & Resources project leveraging analytics and awesome-list, open-source
Who made it?Maintained by academic team, 29.8K⭐ on GitHub, #83 out of 3640 in Learning & Resources
Why does it exist?With the growing demand for analytics and awesome-list in Learning & Resources, academic created awesome-datascience as a streamlined solution.
What can it do?Key use cases: data-mining, data-science, data-scientists
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/academic/awesome-datascience
🔗 github.com/academic/awesome-datascience
Topics
analyticsawesome-listdata-miningdata-sciencedata-scientistsdata-visualizationdeep-learninghacktoberfestmachine-learningscience