python-awesome
awesome-python-for-data-science
| python-awesome | awesome-python-for-data-science | |
|---|---|---|
| 11 | 7 | |
| 251 | 68 | |
| - | - | |
| 0.0 | 6.6 | |
| over 2 years ago | 8 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | - |
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.
python-awesome
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Python tutorial on Github. Please like and sponsor for more tutorials
Python tutorial on Github. Please like and sponsor for more tutorials - https://github.com/gautam1858/python-awesome
- Excellent Python tutorial. Please like sponsor for more tutorials
- Excellent Python tutorial, please like, sponsor for more tutorials
- Excellent Python tutorial, please sponsor for more tutorials
- Python Course for Beginners on GitHub – Please Support via GitHub Sponsorship
- Github Curriculum for Python and Machine Learning - Looking for Github Sponsor
- GitHub Curriculum for Python and Machine Learning – Looking for GitHub Sponsor
- Learn Python, Easy to learn, way to get started
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?
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Data-Science-Resources - Data Science related resources and cheatsheets
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