Predictive Maintenance Cost Modeling for Real Estate Assets

Construct a Python-driven predictive maintenance cost model using pandas, numpy, and scikit-learn that forecasts property maintenance expenses with machine learning techniques. The script should ingest historical maintenance records from Excel/Sheets, analyze equipment age, property type, historical repair logs, and generate probabilistic maintenance budget projections. Implement clustering algorithms to identify high-risk property segments and develop automated maintenance scheduling recommendations with cost optimization strategies.