Predictive Maintenance Cost Forecasting Tool

Build a Python script that leverages machine learning to predict property maintenance costs and depreciation trajectories, integrated directly with Google Sheets. Use time-series analysis and regression techniques to forecast potential repair and replacement expenses for different property types and ages. Implement a probabilistic modeling approach that accounts for regional variations, property condition, and historical maintenance records.