This paper is published in Volume-7, Issue-6, 2021
Area
Machine Learning
Author
Nidamaneni Rajyalakshmi, Sai Pavan Kumar Kokkiri, Chandra Shekar V., Dr. B. Srinivas Rao
Org/Univ
LakiReddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India
Pub. Date
08 November, 2021
Paper ID
V7I6-1168
Publisher
Keywords
Machine learning, Ensemble Methods, Linear Regression, Random Forest.

Citationsacebook

IEEE
Nidamaneni Rajyalakshmi, Sai Pavan Kumar Kokkiri, Chandra Shekar V., Dr. B. Srinivas Rao. Real Estate Price Prediction using Ensemble Methods, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nidamaneni Rajyalakshmi, Sai Pavan Kumar Kokkiri, Chandra Shekar V., Dr. B. Srinivas Rao (2021). Real Estate Price Prediction using Ensemble Methods. International Journal of Advance Research, Ideas and Innovations in Technology, 7(6) www.IJARIIT.com.

MLA
Nidamaneni Rajyalakshmi, Sai Pavan Kumar Kokkiri, Chandra Shekar V., Dr. B. Srinivas Rao. "Real Estate Price Prediction using Ensemble Methods." International Journal of Advance Research, Ideas and Innovations in Technology 7.6 (2021). www.IJARIIT.com.

Abstract

Real estate is one of the popular fields in current society. Customers should be very careful when they are buying or selling the property. There exist several reasons for increasing in the demand of land and houses. The factors like locality of house, the rooms it consists of and cost of living at that particular place plays an important role for deciding the value of house. Automated house price prediction can be done using linear regression, random forest and linear classification methods which are also termed as Ensemble methods. In the system, the data will be cleaned initially like removal and detection of extreme data from datasets and then the algorithms be applied.
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