A Survey on Prediction of COVID-19 Using Machine Learning

Coronavirus (COVID-19) is an irritation infection from another infection. The infection causes respiratory disease (like flu) with indications, for instance, cool, hack and fever, and in logically genuine cases, the issue in relaxing. COVID-2019 has been seen as an overall pandemic and a couple of assessments are being driven using distinctive numerical models to foresee the presumable headway of this epidemic. These numerical models subject to various components and examinations are needy upon likely tendency. Here, we introduced a model that could be helpful to foresee the spread of COVID-2019.Foreseen the expected examples of COVID-19 impacts in India reliant on information accumulated from Kaggle. With the regular information about affirmed, demise and recuperated cases across India for over the time length helps in foreseeing and assessing the not all that removed future. Prior to creating the models, a correlation coefficient analysis between various dependent and independent features was performed to establish the strength of the association between each dependent and independent feature of the dataset. The training dataset was used to train the models 80% of the time, while the testing dataset was used to test the models 20% of the time.