This project takes a real estate data set from kaggle to build a model which can predict the house price of unit area. Exploratory data analysis has been performed to understand the data set avaialble and the features to be used. The project uses a decision tree regressor to build the model and the accuracy of the model was calculated using the mean absolute error.