awesome-R
ML-For-Beginners
| awesome-R | ML-For-Beginners | |
|---|---|---|
| 6 | 28 | |
| 5,823 | 67,497 | |
| - | 0.9% | |
| 3.5 | 6.9 | |
| 1 day ago | 5 days ago | |
| R | 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.
awesome-R
- Good coding groups for black women?
- Where to learn R?
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Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
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Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
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WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
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?
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
easystats - :milky_way: The R easystats-project
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
sf - Simple Features for R
pycaret - An open-source, low-code machine learning library in Python
lab02_R_intro - Vežbe 2: Uvod u R
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
viridis - Colorblind-Friendly Color Maps for R
pyVHR - Python framework for Virtual Heart Rate
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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]