@article{Likhesh Kolhe, Yogesh Pingle, Puja Kadam, Dr.Vishal Jain_2020, title={Prediction of Coronavirus Covid-19 cases using Linear Regression and Support Vector Machine}, volume={29}, url={http://sersc.org/journals/index.php/IJAST/article/view/17901}, abstractNote={<p>Numerous viruses like H1N1 Influenza in 2009 and Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) in 2003 are documented. Recently, MERS-CoV Middle East Respiratory system detected in Saudi Arabia in 2012.Now, a novel coronavirus was discovered in December 2019. It causes a number of pneumonia cases in China. It started spreading briskly, resulting in widespread throughout China, shadowed by an increasing number of cases in other countries all over the world. In February 2020, the WHO named it as COVID-19, which stands for coronavirus disease 2019. It took almost three months to reach the first ten thousand confirmed cases, and only in next 12 days it reaches to the next 1 lac cases, a sign that the speed of transmission is increasing. As a case study we have considered India for the evaluation of results of prediction. In India, as of March 27, 2020, according to the Ministry of Health &amp; Family Welfare (MoHFW), a total of 724 COVID-19 cases are reported in 27 states/union territories. The death rate of the virus has fluctuated and since it is a new virus without a vaccine yet, it is difficult to confirm its behavior. The Government of India is taking all required steps to make sure that the country is ready to face the challenge and hazard posed by the increasing pandemic of COVID-19. In this situation, it is very important to predict the number of cases in future which will help the government to take necessary actions. In this research, we have designed a new system based on Linear Regression and Support Vector Machine that accurately predict the number of COVID-19cases in the forthcoming days, if precautions to prevent it are not followed. It is also observed that for the first 4-5 days predicted data is almost matched with an increase in the number of cases in India.</p> <p><strong><em>Keywords— </em></strong><em>Pandemic, COVID-19, prediction, linear regression, support vector machine.</em></p&gt;}, number={5s}, journal={International Journal of Advanced Science and Technology}, author={Likhesh Kolhe, Yogesh Pingle, Puja Kadam, Dr.Vishal Jain}, year={2020}, month={May}, pages={1911 - 1924} }