Automated Property Valuation Machine Learning Pipeline

Create an advanced machine learning pipeline using TensorFlow and scikit-learn that generates automated property valuations. The system must integrate multiple data sources including recent sales data, neighborhood demographics, school district ratings, crime statistics, and geospatial features. Implement a hybrid model combining gradient boosting and neural network techniques, with built-in bias detection and explainable AI components to ensure transparent valuation methodologies.