House Price Prediction Using Machine Learning Teachniques

12 May
Posted on Author Neha Rai

House Price Prediction Using Machine Learning Teachniques

Authors- P. Ajay, Assistant Professor Dr. K. Nandhini

Abstract--Accurate house price prediction is a critical component of real estate analytics, impacting buyers, sellers, investors, and policymakers. This paper presents a comprehensive approach to forecasting house prices using advanced machine learning algorithms and statistical methods. It explores the influence of key factors such as property size, location, amenities, market trends, and economic conditions on house prices. The findings highlight the potential for machine learning to transform real estate decision-making, offering valuable insights into pricing strategies and market assessment. Future research directions include integrating geospatial data and economic indicators for even more precise forecasting.

DOI: /10.61463/ijset.vol.13.issue2.434