Covid-19 outbreak prediction using Machine Learning and Deep Learning

Coronavirus Disease 19 or COVID-19 is a highly infectious pandemic caused by novel Coronavirus (SARS Cov 2). The peculiar characteristic of the virus to swiftly proliferate into human existence coupled with scanty data and understanding has resulted in unprecedented mortalities across the globe. With millions of infections and thousands of deaths being reported on daily basis, recording, analyzing and making sense of data in real time significantly aids in combating the virus. This study aims to offer an amicable solution to this problem by developing a prediction model to track the infection and mitigate the risk. A comparative study of legacy Machine Learning algorithms is presented, keeping speed and accuracy in focus. Open-source live data on Covid-19 infections is obtained for prediction and results are presented both worldwide and country-wise.