Real State Business Analysis
Amazon Web Services
• Create a model in order to determine wheter property prices are undervalued or overvalued, with
all other variables being the same.
• Filter the under valued properties and create marketing campaigns around them using the
undervalued Price as a competitive advantage.
• Measure efectiveness of sales campaign around this strategy.
Machine learning operations (MLOps) steps
We used historical sales in Panama for the real state business with different characteristics (50 variables) and ultimate selling Price.
We also performed web scraping to obtain sales prices and characteristics on properties currently on the market.
We applied Cross-Validation on the data.
We used different Regression algorithms and some Decision trees algorithms for regression including XGBoost.
The best result we got from XGBoost: