ON THE ANALYSIS OF COVID19 - NOVEL CORONA VIRAL DISEASE PANDEMIC SPREAD DATA USING MACHINE LEARNING TECHNIQUES – RREGRESSION AND SIR MODEL

Abstract

Corona virus are the gathering of viruses that cause different illnesses in birds and vertebrates. In humans, they cause a range of respiratory problems. This undertaking project presents the analysis of the transmission of COVID19 sickness and predicts the scale of the pandemic, the recuperation rate just as the casualty rate. Here utilized a portion of the notable Machine Learning techniques   just as numerical modeling strategies, for example, Rough Set-Support Vector Machine (RS-SVM), Polynomial Regression, Bayesian Ridge Regression and SIR model.