Dynamic Property Valuation Model with Machine Learning Integration

Create a Google Sheets script using TensorFlow.js that dynamically calculates property valuations by integrating historical market data, neighborhood comps, and predictive regression models. The script should pull real-time Zillow and local MLS data, apply machine learning algorithms to generate accurate price predictions, and automatically update valuation ranges with 95% confidence intervals. Include error handling for data inconsistencies and a comprehensive visualization dashboard showing predictive confidence levels.