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.