Efi's Demo Lab
Interactive explainer

Grouping countries by response

A K-means exploration of COVID-19 data and country response patterns.

Try the method

Interactive explainer

How it works.

Prepare the features

Explore and scale the repository's country-level input variables.

From the original project.

Saved artifacts · click to inspect

Saved notebook output · Covid19-Clustering.ipynb
Original artifact ↗
Saved notebook output · Covid19-Clustering.ipynb
Original artifact ↗
Saved notebook output · Covid19-Clustering.ipynb
Original artifact ↗

Continue in the source.

Open the source notebook in Jupyter, Colab, or the environment described in the README. Data and model downloads may be required.

git clone https://github.com/eforus-overseer/Covid19-Clustering.git
Read the setup and requirements ↗

Project artifacts.

Source links point to the original public repository. Credit belongs to the project authors and the dependencies credited there.