摘要：The COVID-19 pandemic has become a major threat to the whole world.Analysis of this disease requires major attention by the government in all countries to take necessary steps inreducing the effect of this global pandemic.In this study, outbreak of this disease has beenanalysed and trained for Indian region till 1oth May, 2020, and testing has been done for thenumber of cases for the next three weeks.Machine learning models such as SEIR model andRegression model have been used for predictions based on the data collected from the officialportal of the Government of India in the time period of 3oth January, 2020, to 10th May, 2020.The performance of the models was evaluated using RMSLE and achieved 1.52 for SEIR modeland 1.75 for the regression model. The RMSLE error rate between SEIR model and Regressionmodel was found to be 2.01.Also, the value of Ro, which is the spread of the disease, was calculated to be 2.84.Expected cases are predicted around 175K--20oK in the three-week timeperiod of test data, which is very close to the actual numbers. This study will help the government and doctors in preparing their plans for the future.
