A Covid Outbreak Prediction using Machine Learning

Abstract

Machine learning (ML] helps with the future prediction of action and take decision. A variety of prediction techniques are used for the future prediction of risks and effectively dealing it. This work shows how ML models can predict death rates of COVID-19 patients so that we can do effective treatment and try to minimize the effect of the causes. Coronavirus 2019, COVID-19 is a member of the Coronaviridae genus. A virus without a cure causes unpredictable devastation to people's lives as well as the financial and economic systems of every nation on earth. We have taken certain features from the COVID-19 dataset to study and comprehend the future circumstance using machine learning algorithms, various prediction models are created, and their performances are calculated and assessed. We have compared machine learning algorithms viz. Random Forest and Linear Regression, Decision Tree to predict a number of cases.