Abstract
In "Predictive Modeling for Housing Price Trends Using Historical Data," data analysis and predictive techniques are used to forecast future real estate pricing trends. By examining factors like location, size, economic indicators, and interest rates, this method creates predictive models. The aim is to provide valuable insights for real estate stakeholders, aiding decision-making in buying, selling, or investing in properties. These models assist in risk assessment and strategic planning, offering crucial insights for navigating the dynamic real estate market Key Words: Predictive Modeling, Housing Price Trends, Historical Data Analysis, Regression Analysis, Data Preprocessing, Feature Engineering, Model Deployment
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