ML-For-Beginners
awesome-for-beginners
ML-For-Beginners | awesome-for-beginners | |
---|---|---|
28 | 106 | |
66,908 | 63,877 | |
3.5% | - | |
7.6 | 0.0 | |
20 days ago | 3 days ago | |
HTML | ||
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.
ML-For-Beginners
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Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
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is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
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Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?
awesome-for-beginners
- Awesome First PR Opportunities
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Ask HN: How do you look for a good open-source project?
The "Awesome First PR Opportunities" list might be a helpful starting point.
https://github.com/MunGell/awesome-for-beginners
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Confused, what should be the title? I DON'T KNOW
There is a repo called Awesome for Beginners, that has a list of open source projects in many languages that are looking for contributors.
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My first PR to Hacktoberfest
Searching in Awesome for beginners
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Getting overwhelmed while trying to doing open source or How should I practice such that I am able to do some open source
I am looking at this repo for beginners then I picked the typescript repo but I couldnt do it . I mean this doesnt look like something a first timer can do or I am a smooth brain maybe.
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Como encontrar projetos opensource para começar a contribuir? E como começar ?
Forma "quero ajudar um open source": https://github.com/MunGell/awesome-for-beginners
- Creative block si harababura din open source
- Open source projektek
- Projects for beginners
- Open Source Projects to Contribute to?
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
list-of-assetto-mods - A simple list compiling the good and bad of the Assetto Corsa mod community.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
CodeTriage - Discover the best way to get started contributing to Open Source projects
pycaret - An open-source, low-code machine learning library in Python
good-first-issue - Make your first open-source contribution.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
first-contributions - 🚀✨ Help beginners to contribute to open source projects
pyVHR - Python framework for Virtual Heart Rate
awesome-competitive-programming - :gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]
Cataclysm-DDA - Cataclysm - Dark Days Ahead. A turn-based survival game set in a post-apocalyptic world.