House Price Prediction

Built a predictive model that estimates house prices based on various features like area, number of rooms, location, and other attributes. The process included data cleaning, exploratory data analysis (EDA), feature engineering, encoding categorical variables, model selection, training, and evaluation. I used regression algorithms to predict the target price and evaluated model performance using metrics like RMSE and R². The final model helps stakeholders in real estate to make data-driven pricing decisions.