ABSTRACT
COVID-19 is a massive and cruel pandemic that the current generation of people experienced in their lifetime. It is a new disease that doctors cannot identify the exact cause and treatment of the disease. Many people died due to this COVID-19 disease even small children. Countries around the world faced an economically backward situation, and people have lost their growth for the past two years of their life. Researchers focus on Covid-19 disease and published many papers in journals and conferences. Machine learning algorithms and deep learning techniques were employed to find out the covid-19 cases and compare the results of the prediction around the world. Regression techniques play a crucial role in the prediction of diseases. This paper aims to predict the disease condition based on machine learning algorithms such as Support Vector Regression (SVR) and Polynomial Regression (PR) with the publicly available COVID-19 dataset.
