Predictive Modeling is a process that uses data mining and probability to forecast outcomes. It involves building mathematical models that analyze historical data and identify patterns to predict future events or behaviors. Techniques used in predictive modeling include regression analysis, decision trees, neural networks, and ensemble methods. Predictive models are applied in various domains such as finance (credit scoring, stock price prediction), marketing (customer segmentation, churn prediction), healthcare (disease diagnosis, patient risk assessment), and more. By leveraging predictive modeling, organizations can make data-driven decisions, optimize processes, and improve operational efficiency.