Machine learning plays a foremost role from precedent years in illustration detection, spam restructuring, normal verbal communication commands, product suggestion, and therapeutic analysis. Present machine-learning algorithms worn for the analyzing the diseases and finding the relationships between confirmed, deaths. In the present paper, we are finding the root mean square error (RMSE) to analyze the COVID confirmed and deaths using linear regression, decision trees, random forests, proving death rates are less when compared with confirmed cases of our country India. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Analysis of Covid Confirmed and Death Cases Using Different ML Algorithms