Data-science-best-resources VS awesome-datascience

Compare Data-science-best-resources vs awesome-datascience and see what are their differences.

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Data-science-best-resources awesome-datascience
2 9
2,755 22,991
- 1.3%
0.0 7.2
3 months ago 17 days ago
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Data-science-best-resources

Posts with mentions or reviews of Data-science-best-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

awesome-datascience

Posts with mentions or reviews of awesome-datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-26.

What are some alternatives?

When comparing Data-science-best-resources and awesome-datascience you can also consider the following projects:

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

100-Days-Of-ML-Code - 100 Days of ML Coding

gdelt

cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW

DataScienceResources - Open Source Data Science Resources.

free-data-science-books - Free resources for learning data science

vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia

IntRo - Introduction to R for health data

ScribeSalad - A collection of YouTube videos transcripts : Podcasts (Joe Rogan Experience, Tim Ferris, Jocko podcast, ..), lectures (YaleCourses, MIT lectures, Jordan B. Peterson talks, ..). A big transcripts salad spanning history, geography, science, politics, film making and more.

looper - A resource list for causality in statistics, data science and physics

data-science-blogs - A curated list of data science blogs