Analysis and Forecasting Covid-19 Spread in India using Logistic Regression and Prophet Time Series

Covid19 pandemic is infecting a large community across the globe. Nearly 29 million got affected due to covid in India. The cases are increasing day by day. There are confirmed cases along with recovery and fatality rate. Prediction of the growth /fatality rate is a challengeable one. This paper implements an Artificial Intelligence (AI) strategy for analyzing and predicting the covid cases across the nation on daily basis at various rates. It includes (a) Analysis of growth rate, (b) Prediction of Confirmed rate, (c) Prediction of Deceased Rate, (d) Analysis of Recovery rate, etc. Logistic regression (LR) is a classification problem that performs well on medical data. The proposed work implements logistic regression along with prophet methods for analyzing the time-based covid cases across India. This proposed work analyzes the active cases and perform them effectively with an accuracy of 0.96.