Polynomial Regression Model to Predict Future Covid Cases

Accurate case predictions are essential for efficient public health management and resource allocation since the COVID-19 pandemic has had a substantial impact on economies global health. Using polynomial regression, machine learning technique that fits function to data, this research seeks create predictive model future cases. The takes into consideration elements such as population density, healthcare facilities, governmental initiatives using historical data from India. In order forecast number of upcoming instances, regression is employed. model's effectiveness assessed measures, including mean squared error R-squared. outcomes demonstrate can precisely trend instances over time. This approach be useful forecasting spread virus informing policies. limitations directions also discussed. Furthermore, adaptability changing trends its ability capture non-linear relationships between variables, make it promising tool pandemics other crises.