To analyze historical real estate data to identify patterns in customer buying and renting behavior.
To develop predictive models using machine learning algorithms to forecast customer behavior based on financial factors.
To assess the impact of economic indicators such as interest rates, GDP growth, and unemployment rates on real estate customer decisions.
To create actionable insights for real estate businesses to better understand and target their customers.
Collect and clean datasets on real estate transactions, customer demographics, and financial indicators.
Conduct exploratory data analysis to identify trends and correlations in the data.
Implement machine learning algorithms to build predictive models for customer behavior.
Interpret the results of the models and generate insights for real estate businesses.
Prepare a research paper documenting the methodology, results, and recommendations for improving real estate customer targeting strategies.
