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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Comparative Analysis of ML and DL Algorithms for House Price Forecasting
Authors
Sagar Kashyap, Dr Alka Verma, Rahul Vishnoi
Keywords
Deep learning, machine learning, house price prediction, multi-modal data, neural networks, regression analysis, feature engineering, hybrid models
Abstract
This report investigates the existing work on optimizing house price estimation with machine learning and deep learning techniques. Focusing on its base data types structured and then multi-modal (price, geospatial etc.) it runs through essential algorithms such as Linear Regression, XGBoost and Neural Network and compares their capabilities pros and cons. From the results, it emphasizes the ability of these methods to enhance predictive accuracy based on heterogeneous data sources, whilst challenges such as interpretability of models and integration of data persist. Promising future directions to move the field forward, such as hybrid models and multi-modal approaches, are discussed.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A4714
Paper ID - 282684
Page Number(s) - o598-o602
Pubished in - Volume 13 | Issue 4 | April 2025
DOI (Digital Object Identifier) - https://doi.org/10.56975/ijcrt.v13i4.282684
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sagar Kashyap, Dr Alka Verma, Rahul Vishnoi, "Comparative Analysis of ML and DL Algorithms for House Price Forecasting", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.o598-o602, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A4714.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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