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