awesome-math
awesome-datascience
awesome-math | awesome-datascience | |
---|---|---|
12 | 9 | |
8,184 | 23,777 | |
- | 3.7% | |
6.6 | 6.9 | |
about 1 month ago | 7 days ago | |
Python | ||
- | 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-math
- Good coding groups for black women?
- Cool Github repositories for Everyone
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Best books about computer science theory?
Check out TCS, Algorithms, and Math awesome lists.
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Where do all the old/unused textbooks go?
And also don't overlook free resources. While the quality might be significantly more variable, and it's unlikely it'll be the required text for a course you take, in the right places there's plenty of stuff to look into (e.g. here for math).
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I wan’t to be an electrical engineer when I grow up (I’m 13), any advice?
Awesome Math
- Awesome math
- A curated list of awesome mathematics resources
- A curated list of mathematics resources
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Resources to study from
here is a great list of resources.
- How to fix the broken fundamentals in maths?
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.
What are some alternatives?
awesome-unix - All the UNIX and UNIX-Like: Linux, BSD, macOS, Illumos, 9front, and more.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
awesome-robotics-projects - A list of open-source, affordable, less-known, or visionary robotics projects.
gdelt
textbooks - Source code of Mathigon's interactive textbooks
vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia
awesome-scala - A community driven list of useful Scala libraries, frameworks and software.
DataScienceResources - Open Source Data Science Resources.
awesome-algorithms - A curated list of awesome places to learn and/or practice algorithms.
data-science-blogs - A curated list of data science blogs
awesome-honeypots - an awesome list of honeypot resources
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.