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.