Project Part2A Draft a project proposal that includes the following: Problem Definition: Clearly define the problem and explain the significance of solving it. Objective: State the goals of the data mining project. CRISP-DM Framework Application: Business Understanding: Detail the business objectives and requirements. Data Understanding: Describe the data collection process, including the types of data, data sources, and any initial data exploration. Data Preparation: Outline the steps for data cleaning, transformation, and feature engineering. Modeling: Select appropriate data mining techniques (e.g., clustering, classification, regression) and explain the rationale behind the choices. Evaluation: Describe how the model's performance will be evaluated, including metrics and validation techniques. Deployment: Discuss the steps for deploying the model in a real-world environment and monitoring its performance