Covid-19 Disease Spread Modelling Using ARIMA
Developed a hybrid ARIMA model to estimate the spread of Covid-19, combining statistical analysis and hypothesis testing. By using historical infection data and enhancing it with additional statistical methods, we aimed to improve the model's accuracy. The project involved data preprocessing, optimizing parameters, and validating the model