• D. V. Koushik
• D. Sai Vikas
• G. Anand Vardhan
• G. Venkata Sai Pavan Kumar
• Dr. M. Ramakrishna Murty

COVID-19 is a virus that is rapidly spreading across the World. Until now no full-fledged drug or vaccine is developed for this virus. Though people are recovering with the support of antibiotics, anti-viral drugs, C- Vitamin supplementation, and Remdesivir injections. It is now obvious that the world needs an immediate and faster solution to block and tackle the further prevalence of COVID-19 across the world with the aid of non-clinical methods such as data mining, AI, and other augmented intelligence techniques to ease the huge load on the healthcare system while providing the finest possible means for patients’ diagnosis and prediction of the 2019-nCoV epidemic efficiently. There is an immediate requirement for a solution to contain the rise of COVID-19 cases across the World and this can be done with the help of Data Mining and Machine Learning by forecasting or predicting the trends in the COVID-19 cases. The models forecast the number of Confirmed, Recovered, and Death cases for the next week. By forecasting the trend of corona-virus we can support health and medical departments to make vital decisions regarding the pandemic.

COVID-19, Linear Regression, Support Vector Regression, Polynomial regression, ARIMA, Prophet, RMSE, MAE, MAPE.

"PREDICTIVE ANALYSIS OF COVID-19 AND ITS PREVALENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f749-f767, May-2021, Available :http://www.jetir.org/papers/JETIR2105766.pdf

"PREDICTIVE ANALYSIS OF COVID-19 AND ITS PREVALENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf749-f767, May-2021, Available at : http://www.jetir.org/papers/JETIR2105766.pdf