Prediction of House Price using Machine Learning Approach |
Author(s): |
| Gaurav , SGT UNIVERSITY GURUGRAM; Zunaid Aalam, SGT UNIVERSITY GURUGRAM |
Keywords: |
| Multiple Linear Regression, Prediction, Data Mining, Machine Learning |
Abstract |
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This paper aims to predict the price of a house on the basis of key parameters such as LotArea, Year built, Overall Quality, LotConfig, GarageArea, GarageType etc. In this paper, we have taken approximately 40 such parameters for prediction purpose. We have taken the data from a website where recent competitions of data science based projects are displayed with very high prize money. The data set contains more than 1400 records. We have used multiple linear regression method for prediction purpose. In regression, we have some features which are taken as predictors and one output which is real value for the given features The benefit of this paper will be to predict the price of a house on basis of key parameters and there will be no need of agents for asking everything regarding real estate prices. This paper will help the customer to know whether they are investing right amount for real estate or not. |
Other Details |
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Paper ID: IJSRDV5I110013 Published in: Volume : 5, Issue : 11 Publication Date: 01/02/2018 Page(s): 67-70 |
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