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Blue Curved Tubes

Real State Business Analysis

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Technology

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Apache Airflow

Amazon Web Services

Scikit Learn

Python Pandas

Customer

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Project Objectives

• 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.

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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:

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