People are careful when they are trying to buy a new house with their budgets and market strategies. The objective of the paper is to predict house prices for non-house holders based on their financial provisions and their aspirations. By analyzing the foregoing merchandise, fare ranges and also forewarns developments, speculated prices will be estimated. The paper involves predictions using different Regression techniques like Linear Regression and Decision Tree Regression with performing some matrices like accuracy and R2 score values on useful data. House price prediction on a data set has been done by using all the above mentioned techniques to find out the best among them. The motive of this paper is to help the seller to estimate the selling cost of a house perfectly and to help people to predict the exact time slap to accumulate a house.