House Price Prediction using Machine Learning |
Author(s): |
| Ms. Nandhini S , SRM INSTITUTE OF SCIENCE AND TECHNOLOGY; E Manish Kumar, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY; Bhaskar Dey, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY; Ashik Teja, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY |
Keywords: |
| House Price Prediction, Factors, Machine Learning, Linear Regression |
Abstract |
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There is a huge increase in house prices in most of the places due to various factors, one of the factors being that the dealers charge extra commission. However, in this paper we will be using Machine Learning to help in predicting the right prices for the customers as per their needs. This work considers the issue of changing house cost as an arrangement issue and applies machine learning methods to foresee regardless of whether house costs will rise or fall. This work applies different highlight choice methods, for example, fluctuation impact factor, data esteem, guideline part investigation and information change methods, for example, exception and missing worth treatment just as box-cox change procedures. The execution of the machine learning procedures is estimated by the four parameters of exactness, accuracy, particularity and affectability with the help of linear regression. |
Other Details |
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Paper ID: IJSRDV7I21168 Published in: Volume : 7, Issue : 2 Publication Date: 01/05/2019 Page(s): 1928-1930 |
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