/covid19-cases-prediction

Predicting covid19 cases in Switzerland using several growth models.

Primary LanguageJupyter NotebookBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

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.