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we propose a basic model that could be helpful to foresee the spread of
COVID-2019. We performed linear regression, Multilayer perceptron and Vector
autoregression model for expectation on the COVID-19 kaggle information to
anticipate the epidemiological pattern of the disease and rate of COVID-2019
cases in India. Predicted the possible trends of COVID-19 impacts in India
based on data collected from Kaggle. With the prevailing data about confirmed, recovered
and death across India for over the time duration helps in predicting and
forecasting the near future. For
additional examination or future point of view, case definition and information
assortment must be kept up continuously.