what if Analysis

This project leverages machine learning to simulate and predict various business or operational scenarios based on different input assumptions. By analyzing “what-if” situations, it provides data-driven insights that help stakeholders make informed decisions, optimize outcomes, and anticipate risks. The system combines predictive modeling, scenario simulation, and visual analytics to allow users to explore multiple possibilities and their potential impacts efficiently. Built using Python, scikit-learn, and advanced data visualization techniques, it demonstrates expertise in predictive analytics and decision support systems.