Paper Title :House Price Forecasting Using Supervised Learning
Author :Abhishek Sharma, Aman Sharma
Article Citation :Abhishek Sharma ,Aman Sharma ,
(2024 ) " House Price Forecasting Using Supervised Learning " ,
International Journal of Advances in Computer Science and Cloud Computing (IJACSCC) ,
pp. 1-4,
Volume-12,Issue-1
Abstract : The real estate market is a standout amongst the most focused regarding pricing and keeps fluctuating. It is one of
the prime fields to apply the ideas of machine learning on how to enhance and foresee the costs with high accuracy. The
objective of the paper is the prediction of the market value of a real estate property. This system helps find a starting price
for a property based on the geographical variables. By breaking down past market patterns and value ranges, and coming
advancements future costs will be anticipated. This examination means to predict house prices in Mumbai city with Decision
tree regress or. It will help clients to put resources into a bequest without moving towards a broker. The result of this
research proved that the Decision tree regress or gives an accuracy of 89%.
Keywords - Decision tree regress or, machine learning.
Type : Research paper
Published : Volume-12,Issue-1
DOIONLINE NO - IJACSCC-IRAJ-DOIONLINE-20821
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Copyright: © Institute of Research and Journals
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Published on 2024-07-30 |
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