Definition
The process of creating statistical models to predict future outcomes based on historical data.
Detailed Explanation
Predictive modeling involves selecting appropriate algorithms training them on historical data and validating their performance. It includes techniques like regression classification and time series forecasting with emphasis on model selection validation and deployment.
Use Cases
1. Risk assessment 2. Demand forecasting 3. Customer behavior prediction 4. Maintenance scheduling
