awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Learn and apply data science concepts to solve real-world problems with a curated collection of resources.
From the README
$ brew tap academic/tap $ brew install academic
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-datascience has 29.9k stars on GitHub. It has been forked 6.6k times. It has been in active development since 2014. awesome-datascience is available under the MIT license. Its main topics are analytics, awesome-list, data-mining, data-science.
What is awesome-datascience?
:memo: An awesome Data Science repository to learn and apply for real world problems.
Is awesome-datascience open source?
awesome-datascience is an open-source project. It is released under the MIT license.
Is awesome-datascience free?
Yes. awesome-datascience is free and open source — you can use, modify and self-host it.
What license does awesome-datascience use?
awesome-datascience is available under the MIT license.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/academic-awesome-datascience.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.