https://github.com/grll/covid19-cases-prediction
Predicting covid19 cases in Switzerland using several growth models.
https://github.com/grll/covid19-cases-prediction
Last synced: about 1 year ago
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Predicting covid19 cases in Switzerland using several growth models.
- Host: GitHub
- URL: https://github.com/grll/covid19-cases-prediction
- Owner: grll
- License: bsd-3-clause
- Created: 2020-04-05T19:17:23.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-04-06T13:33:11.000Z (over 6 years ago)
- Last Synced: 2025-06-04T02:27:20.915Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage: https://growthmodeling.netlify.com/
- Size: 2.53 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Predicting COVID-19 cases in Switzerland
This repository contains 2 notebooks presenting cumulative covid-19 cases prediction in Switzerland:
- `ExploratoryDataAnalysis.ipynb` contains a brief EDA and a first attempt at performing a Poisson Regression on the data.
- `CasesPrediction.ipynb` fit different exponential and other common growth models to the data.
The `CasesPrediction.ipynb` heavily use the package `growth_modeling` wich is
also part of this repository. In this package several growth model are implemented
and a simple API similar to sklearn is exposed for easy usage.
A documentation for the `growth_modeling` package is available [here](https://growthmodeling.netlify.com/).