Our aim is to predict house price by using ML algorithms like linear regression, random forest, gradient boosting and neural networks.We will discuss how house prices are affected by different housing characteristics like number of rooms, location of house etc. We compared the predicted values with real values. After training our model we tested it with given test dataset . by this we managed to get closest prediction value of sale price for the given features.