House Price Prediction

Summary

A classic regression project: predict continuous house prices from tabular features — a rite of passage that exercises EDA, feature engineering and regression together.

• 1Use a real dataset (e.g. Ames Housing) and go beyond a single default model.
• 2Compare linear regression, random forest and XGBoost on the same data.
• 3Report performance with proper metrics (RMSE, MAE) and explain your feature choices.