Adaptive Machine Learning Credit Scoring Model

Develop an advanced machine learning credit scoring model that dynamically adapts to changing economic conditions. Create a Python framework using XGBoost and neural networks that can continuously learn and update credit risk models. Implement robust feature engineering, handle concept drift, and provide interpretable model explanations compatible with financial regulations. Include comprehensive model governance and versioning mechanisms.