Analysis and Prediction of COVID-19 datasets using Machine Learning Algorithms

Abstract

The devastating spread caused by Severe Acute Respiratory Disorder - Coronavirus (SARS-CoV-2) which is also known as COVID-2019 has brought global threat to our society. Every country is making immense efforts to stop the spread of the deadly disease through the use of finance, infrastructure and data sources, as well as protective devices, life-risk treatments, as well as other sources. Researchers studying artificial intelligence focus their skills to create mathematical models for studying the scourge of this disease using and shared data. In order to improve the wellbeing of our society. This article proposes using model of deep and machine-learning to understand its daily exponential behavior, as well as the prediction of the future impact of the COVID-2019 across nations using the live data of the Johns Hopkins dashboard