awesome-python-for-data-science
ml-earth-observation-101
| awesome-python-for-data-science | ml-earth-observation-101 | |
|---|---|---|
| 7 | 1 | |
| 68 | 1 | |
| - | - | |
| 7.3 | 5.4 | |
| 6 months ago | 9 months ago | |
| Jupyter Notebook | 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.
awesome-python-for-data-science
-
[D] Best tools to learn data science nowadays?
We're updating our awesome-python-for-data-science repository.
-
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.
-
[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
-
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.
-
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?
-
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
ml-earth-observation-101
What are some alternatives?
ydata-synthetic - Synthetic data generators for tabular and time-series data
lidar-harmonization - Code release for Intensity Harmonization for Airborne LiDAR
rgb-to-hex - Python script to convert an RGB text sequence into HEX Code
ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp
ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:
Awesome_Satellite_Benchmark_Datasets - Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
mud-pi - A simple MUD server in Python, for teaching purposes, which could be run on a Raspberry Pi
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
python-tutorial - A Python 3 programming tutorial for beginners.
SatelliteCloudGenerator - A PyTorch-based tool to generate clouds for satellite images.
Data-Science-Resources - Data Science related resources and cheatsheets
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.