PREDICTIVE MODELING FOR HOUSING PRICE TRENDS USING HISTORICAL DATA
- Version
- Download 78
- File Size 448.91 KB
- File Count 1
- Create Date 4 April 2024
- Last Updated 4 April 2024
PREDICTIVE MODELING FOR HOUSING PRICE TRENDS USING HISTORICAL DATA
Vidyasree P1, Dr. V Sathya2
1Student, Department Of Computer Applications, Adhiyamaan College Of Engineering (Autonomous), Hosur, Tamil Nadu, India.
2Associate Professor, Department Of Computer Applications, Adhiyamaan College Of Engineering (Autonomous), Hosur, Tamil Nadu, India.
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
Download