Forecasting Corona Virus Outbreak

Forecasting Corona Virus Outbreak – The outbreak of COVID-19 made a significant health impact across the globe. This project is designed to analyze how coronavirus affect different nations and to predict potential COVID-19 cases across all the globe on an everyday basis. The objective was to gauge COVID-19 on three metrics- confirmed cases, recovered cases and death events for the next day using historical data as on a given date. Various forecasting models such as Linear Regressor, Random Forest Regressor, ARIMA, Prophet, Holt Winter etc. are used for time series analysis and forecasting COVID cases.

Forecasting Corona Virus Outbreak – Salient Features:
– Comprehensive data analysis and visualization
– Applying multiple different time series algorithms
– Comparative study of model performances
– Recommendation of the best algorithm for a given use case
– Can easily be extended to other industry use case applications

Tech Stacks:
Numpy, Pandas, Scikit Learn, ARIMA, Prophet, Python

Industry:
Healthcare and Life Sciences, Retail, Ecommerce