Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{152722, author = {Satya Mohan Chowdary G and A. Jaswanthi and P. Jaya Sri and S. Rajendranadh and N. Snehith}, title = {Prediction of House Pricing Using Machine Learning With Python}, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {8}, number = {4}, pages = {189-192}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=152722}, abstract = {House prices are increasing every year which has necessitated the modeling of house price prediction. This project provides an overview about how to predict house costs utilizing different regression methods with the assistance of python libraries. The proposed technique considered the more refined aspects used for the calculation of house price and provided the more accurate prediction. It also provides a brief about various graphical and numerical techniques which will be required to predict the price of a house. This project contains what and how the house pricing model works with the help of machine learning and which dataset is used in our proposed model. }, keywords = {}, month = {}, }
Cite This Article
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry