model building

Model building is the process of creating a mathematical system that can analyze data and make predictions or decisions. It involves selecting relevant data, choosing a suitable method (like algorithms), training the model by allowing it to learn from the data, and then testing its accuracy. The goal is to develop a reliable tool that can interpret new data and provide useful insights or forecasts. This process is commonly used in fields like finance, healthcare, and marketing to automate analysis and support better decision-making.