Predicting House Price with Deep Learning: A Comparative Study of Machine Learning Models

Author(s)	Sweta R. Kumar, Swati Bhatt, Hasan Phudinawala
Country	India
Abstract	In the real estate market, one of the most important tasks is to accurately predict house prices, as this information can assist buyers and sellers in making more educated decisions about the value of their respective properties. In this investigation, we investigate the application of deep learning (DL) strategies for forecasting housing prices and evaluate how well these strategies perform in comparison to more conventional machine learning approaches.
Keywords	House Price, Machine Learning, Deep Learning, Bayesian Optimization
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-03-21
Cite This	Predicting House Price with Deep Learning: A Comparative Study of Machine Learning Models - Sweta R. Kumar, Swati Bhatt, Hasan Phudinawala - IJFMR Volume 5, Issue 2, March-April 2023. DOI 10.36948/ijfmr.2023.v05i02.1849
DOI	https://doi.org/10.36948/ijfmr.2023.v05i02.1849
Short DOI	https://doi.org/gr2kqw

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research