You are building a regression model to predict house prices…
You are building a regression model to predict house prices based on features such as size, age, number of rooms, and location. You are considering two feature transformation techniques: Principal Component Analysis (PCA)} to reduce dimensionality. Polynomial feature expansion} to capture nonlinear relationships. Which of the following statements are true in this scenario?