Covid-19 Data Analysis Project
- Data Source: CDC(Centers for disease control and prevention)
- Model Select:
1. The Stochastic SEIRS model, takes into account variations individual susceptibility and the influence of external factors, it exhibits robust predictive capabilities for pandemic trends.
2. The ARIMA model, a well-established time series model suitable for capturing temporal patterns in data.
- Model deployment: Two models were built in python, then the outputs of the first two models were selected for linear regression with real-world data, and the final prediction results of the ensemble model were provided.