Imagine you are working on a marketing campaign for a retail company. The company wants to identify the factors that influence customer purchasing decisions in order to improve their targeting strategies. Task: 1. Design a decision tree model that predicts whether a customer will make a purchase based on a set of given attributes such as; age, gender, income level, past purchase history. 2. Explain the steps you would take to build and evaluate the decision tree, including;+ ii. iii. iv. ii. iii. data preprocessing, feature selection, + model validation. 3. Finally, analyze and interpret the decision tree to provide actionable insights for the marketing team.