House Price Prediction Based on Machine Learning

House Price Prediction Based on Machine Learning

Aditya Wankhade¹, Umesh Shinde², Hrushikesh Wayal³, Prof.Neelam Gaikwad

Department of Computer Engineering

Genba Sopanrao Moze College of Engineering, Balewadi, Pune 45

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ABSTRACT
House price forecasting is an important topic of real estate. The literature attempts to derive useful knowledge from historical data of property markets. Machine learning techniques are applied to analyse. Historical property transactions in Bangalore City to discover useful models for house buyers and sellers. Moreover, experiments demonstrate that the Multiple Linear Regression that is based on mean squared error measurement is a competitive approach.The project aims at building a model of housing prices to predict median house value in Bangalore City using the provided dataset this model should learn from the data and be able to predict the median housing price in any district given all the other metrics.

Keywords: - Multiple linear regression, Lasso Regression, Random Forest , Decision Tree, Machine Learning, House Price Prediction.