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@article{167206,
author = {MD. Suleman Khan and Dr. V. umar Rani},
title = {HOUSE PRICES ADVANCED REGRESSION TECHNIQUES},
journal = {International Journal of Innovative Research in Technology},
year = {2024},
volume = {11},
number = {3},
pages = {584-589},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=167206},
abstract = {Since data mining can be utilized to remove important information from crude information, it is turning out to be increasingly more typical in the land business. This is on the grounds that data mining is an exceptionally viable device for estimating home estimations and tracking down significant lodging characteristics. The housing business sector and property holders are especially likewise underscores how pivotal underlying and locational factors are in deciding home estimations. The most valuable machine learning models for next concentrate on in this space will be distinguished, and lodging designers and scholastics will get a more noteworthy handle of the urgent components that influence home estimating. With the assistance of this review, housing market members will actually want to make more educated decisions and property costs will be anticipated all the more precisely.},
keywords = {House prices, Regression, Price prediction, Lasso regression},
month = {August},
}
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