The data mining process involves several stages, including data preparation, data exploration, model building, model evaluation, and model deployment. These stages are iterative and may be performed multiple times until the desired level of accuracy and usefulness is achieved. The goal of data mining is to uncover hidden patterns and relationships within data that may be difficult or impossible to identify using traditional methods
