Data-Science-For-Beginners
ML-For-Beginners
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| Data-Science-For-Beginners | ML-For-Beginners | |
|---|---|---|
| 15 | 28 | |
| 26,290 | 66,806 | |
| 2.1% | 3.3% | |
| 6.5 | 8.0 | |
| 27 days ago | 13 days ago | |
| Jupyter Notebook | HTML | |
| 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.
Data-Science-For-Beginners
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Welcome to 14 days of Data Science!
Get started with Data Science in the Data Science for Beginners curricula.
- Data Science for Beginners - A Curriculum
- How do I reset my career after already getting my masters?
- Data Science for Beginners – A Curriculum
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Free curriculums to learn and teach
Data Science for beginners: https://github.com/microsoft/Data-Science-For-Beginners
- Ranqueiem minha experiência empregatícia fake
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Looking for buddy/mentor to study ML/datascience, with some focus on practical skills like cloud training and deployment
I’m looking for a buddy to study the materials from these 2 Microsoft courses (or at least similar topics): - DS4Beginners - ML4Beginners
- Top 10 trending github repos of the week🚽.
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New to Python
Checkout this course by microsoft: https://tutobase.com/post/394
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Top 10 trending github repos of the week💜.
View on GitHub
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?
What are some alternatives?
taichi - Productive, portable, and performant GPU programming in Python.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
semi-design - 🚀A modern, comprehensive, flexible design system and React UI library. 🎨 Provide more than 2800+ Design Tokens, easy to build your design system. Make Semi Design to Any Design. 🧑🏻💻 Design to Code in one click
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
appsmith.
pycaret - An open-source, low-code machine learning library in Python
copilot.vim - Neovim plugin for GitHub Copilot
pyVHR - Python framework for Virtual Heart Rate
feedback - Public feedback discussions for: GitHub for Mobile, GitHub Discussions, GitHub Codespaces, GitHub Sponsors, GitHub Issues and more! [Moved to: https://github.com/github-community/community]
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]
uptime-kuma.
amazon-denseclus - Clustering for mixed-type data