Experimental Analysis of Covid-19 Spread Predictor using Linear Regression Algorithm

In the past few years, people's life is affecting badly by the spread of coronavirus due to a lack of information about the spread of the virus and proper management to control it. The government is also looking for ways to get information that how beneficial is their preventive measures. So, that they can Know that whether their preventive measures need to be modified or not. The effect of coronavirus can be seen by the number of people affected, the number of people being treated, and the number of people dead. These are the data based on which our application will make a prediction. The goal of this paper is to make a model that will give us a good prediction based on other variables. In most cases, we use linear regression for data because linear regression gives good accuracy. This paper will be helpful for both people and the government, they will be able to predict the number of cases in the next month so that they can prepare themselves to face the problem and control it from further spreading.