Predictive Data Analytics for Covid-19 Using ...

Predictive Data Analytics for Covid-19 Using Python

Author Name : Divyadharani A K, Gayatri A B, Jeyanithy N M, Padmavathi R, Dr. K. Velmurugan

ABSTRACT

The continuing COVID¬19 pandemic has caused worldwide socioeconomic unrest, forcing governments to introduce extreme measures to chop back its spread. Having the power to accurately forecast when the outbreak will hit its peak would significantly diminish the impact of the disease. The foremost aim of this project is to present different predictive analytics techniques available for analysis, different models, algorithms, and their comparison. This project focuses on a prediction of COVID¬19 employing a Random Forest Algorithm under supervised learning. These predictions have gotten to be useful to government and healthcare communities to initiate appropriate measures to manage this outbreak in time.

Keywords: Pandemic; COVID-19; machine learning; statistics; random forest.