Different Regression models i.e. Linear Regression, Decision Tree Regression, Gradient Boosted Regression, and Random Forest Regression were used. The performance of those models using R² were compared. Based on these performance score, better performing model were suggested to predict house price.

House Price Prediction in Natural Hazard Prone Areas - Part 1: Exploratory Data Analysis (EDA). California is well known for Earthquakes and it is overdue for a major shaking.