Predicting House Prices in Emerging Markets: A Data-Driven Approach to Urban Growth in India

Lilly Florence; Charu Prabha P; Arul Maria Agnes; Anandha Bhairavi; Geo

Predicting House Prices in Emerging Markets: A Data-Driven Approach to Urban Growth in India

Authors: Lilly Florence, Charu Prabha P, Arul Maria Agnes, Anandha Bhairavi, Geo

Unique Paper ID: 170665
Volume: 11
Issue: 7
PageNo: 1548-1555

Keywords: No Keywords Found

Abstract:
The paper presents a data-driven approach to predicting house prices in emerging markets, with a focus on urban growth in India. Using a blend of historical housing data, socioeconomic factors, and machine learning models, we aim to identify key predictors of housing prices. The study explores various algorithms and evaluates their accuracy in forecasting price trends. Our findings offer insights into market dynamics and urbanization's role in price fluctuations. The results highlight the potential of predictive models in assisting stakeholders, from policymakers to investors, in making informed decisions.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 7
PageNo: 1548-1555

Predicting House Prices in Emerging Markets: A Data-Driven Approach to Urban Growth in India

Available:https://ijirt.org/Article?manuscript=170665

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