awesome-datascience
readme-scribe
awesome-datascience | readme-scribe | |
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9 | 1 | |
23,777 | 458 | |
0.9% | - | |
6.9 | 1.8 | |
5 days ago | almost 3 years ago | |
MIT License | MIT License |
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.
awesome-datascience
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About Data analyst, data scientist and data engineer, resources and experiences
Awesome Data Science by Academic
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Good coding groups for black women?
- https://github.com/academic/awesome-datascience
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
9. Awesome Data Science If you’re on the hunt for data science resources, Awesome Data Science is a goldmine. This curated list includes MOOCs, books, courses, blogs, podcasts, software, and more, all related to data science.
- Does anyone know of comprehensive refresher material for a once Senior Data Scientist?
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Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
Awesome Data Science – The awesome lists repositories often provides a good collection of resources around a specific topic, and the awesome-datascience repository is no exception. It contains a very comprehensive list of books, moocs, tutorials, and other content for all learnes of all levels of experience.
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High income skills?
There are several on github, such as: https://github.com/academic/awesome-datascience
- ⚙️ Awesome Data Science: An #OpenSource #DataScience repository to learn and apply towards solving real world problems. h/t @Sauain
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Top GitHub repositories to learn Data Science
Awesome Data Science
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[IWantOut] 21f Peru student -> Canada/UK
If you want to expand your skills and knowledge in data science, there's a ton of free online resources out there. For example, this page is a good place to get started. There's lots of communities like /r/learndatascience or similar subs if you get stuck on something.
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What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
app-ideas - A Collection of application ideas which can be used to improve your coding skills.
gdelt
markdown-latex-math-render
vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia
Best-websites-a-programmer-should-visit - :link: Some useful websites for programmers.
DataScienceResources - Open Source Data Science Resources.
free-programming-books - :books: Freely available programming books
data-science-blogs - A curated list of data science blogs
free-programming-books - :books: Freely available programming books [Moved to: https://github.com/EbookFoundation/free-programming-books]
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.
wget2 - The successor of GNU Wget. Contributions preferred at https://gitlab.com/gnuwget/wget2. But accepted here as well 😍