Case Study: Model Selection and Evaluation

Scenario: You are working on a machine learning project to predict house prices based on various features such as the number of bedrooms, square footage, location, etc. Describe the steps you would take to preprocess the data, select the appropriate model, and evaluate its performance. Discuss the challenges you might face and how you would address them.