A machine learning methodology for forecasting of the COVID-19 cases in
India
- R. Sujatha ,
- Jyotir Chatterjee ,
- Aboul ella Hassanien
Abstract
Here, 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.