A Data Driven Analysis of a Global Crises (COVID-19) using Machine Learning Algorithms

Achyut Tiwari

Abstract: At the time of writing this paper, the Covid-19 (Corona Virus) outburst has been declared a pandemic by the WHO, with confirmed cases in practically every country in the worldwide. It is the latest epidemic. It is one of the hot areas of research in the present scenario. In this paper we are going to understand the complete scenario and flow of this crisis by collecting the data and information from the secondary sources and also analyze the statistics to find out the solutions of the various questions generated in the study. We try to concentrate on Covid – 19 predictions using Machine Learning Techniques. Data such as total number of person infected by this virus in India, total number of person infected by this virus in the world, number of person infected per day by the virus in the world per day, total number of deaths due to this virus, total number of deaths per day due to this virus is used as an input and then these features are modeled for analysis and prediction.

Keywords: COVID-19, CORONAVIRUS, Machine Learning, Arima, Predictive Analysis, Epidemic, Pandemic, Fbprophet, Forecasting Model