rgb-to-hex
awesome-python-for-data-science
| rgb-to-hex | awesome-python-for-data-science | |
|---|---|---|
| 1 | 7 | |
| 2 | 67 | |
| - | - | |
| 10.0 | 7.3 | |
| over 1 year ago | 5 months ago | |
| Python | Jupyter Notebook | |
| 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.
rgb-to-hex
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Python RGB to HEX code converter
I made this rgb color converter using python, feel free to check it out: https://github.com/CodeNinja-tech/rgb-to-hex
awesome-python-for-data-science
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[D] Best tools to learn data science nowadays?
We're updating our awesome-python-for-data-science repository.
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Embarking on a Journey of 99 Data Science Projects - From Beginner to Expert
Sounds like an amazing journey! Feel free to add your projects on our awesome-python-for-data-science repo as you go! And in case you need a hand or feedback on the projects, we'll be happy to help at the Data-Centric AI Community.
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[D] What is the best way to learn machine learning?
We've started a nice repo on the DS roadmap: https://github.com/Data-Centric-AI-Community/awesome-python-for-data-science/tree/main
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Where can I find data science projects to gain more experience.
Hey! You can find several resources online, check out this repo. Also, if you're up for it, we are running aproject on synthetic data (instructions are given weekly) on the Data-Centric AI Community. You'll find the #ds-projects channel and the #nist-challenge project where we're currently working on.
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Hands-on Data-Centric AI: Data Preparation tuning - Why and how?
We made a tutorial following a fully Data-Centric AI pipeline for fraud detection! The material is freely available, let us know what you think! :)
- Hands-On Data-Centric Preparation Tuning – Why and How?
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I'm new to data science. Where to start?
You're very much welcome into the Data-Centric AI Community, take a look at our awesome-python-for-data-science repo: https://github.com/Data-Centric-AI-Community/awesome-python-for-data-science
What are some alternatives?
python-algorithms-v2 - Week 02 - I'm currently learning about data structures and algorithms — I wrote some popular algorithms using python
ydata-synthetic - Synthetic data generators for tabular and time-series data
LearningPython - This is a code repository series for my Learning Python videos on YouTube.
ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:
ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).
webcolors - A library for working with HTML/CSS color formats in Python.
mud-pi - A simple MUD server in Python, for teaching purposes, which could be run on a Raspberry Pi
python-tutorial - A Python 3 programming tutorial for beginners.
Data-Science-Resources - Data Science related resources and cheatsheets
learn oops in python - 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
nist-crc-2023 - NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!