Analysis and Prediction of Covid19 Patient Details using Machine Learning

The accurate identification and prediction of Covid 19 patient information is currently the most difficult endeavour that can be undertaken under the current circumstances. This study effort is entirely focused on the Covid 19 data set acquired from kaggle so that it may provide help to those areas. After collecting the data, it processes the information using cured and death rate folks. The remaining 17% of the whole data set is used for testing after a linear regression model has been constructed using the remaining 83% of the data set as the training set. The model is then used to make predictions based on the train value. When employing the linear regression model, the test value is input into the computer, and then the actual value and the projected value are calculated. This allows for an examination of the relationships between the values, as well as the determination of the linear regression model's degree of accuracy. As a direct consequence of this, an accuracy of 99.981% may be reached.