house_price prediction

Built a predictive model to estimate housing prices using regression techniques. The workflow included data cleaning, feature engineering (e.g. rooms per household, bedrooms per room, population per household), encoding categorical variables (such as ocean_proximity), splitting into train/test sets, and training a Linear Regression model. The project also includes evaluation of model performance via metrics like MSE, RMSE, and R² to validate accuracy