Automated Property Valuation Model with Machine Learning Integration

Create a comprehensive Python script that uses pandas and scikit-learn to build a dynamic property valuation model integrating historical MLS data, geospatial features, and machine learning regression techniques. The script should read raw Excel/Google Sheets data, preprocess features like neighborhood comps, square footage, amenities, and market trends, then generate a predictive valuation algorithm with confidence intervals. Include automated reporting capabilities that export results back to a Google Sheet with color-coded risk assessments and potential market value ranges.