Machine Learning Credit Default Prediction Engine

Construct an advanced machine learning credit default prediction system using Python that integrates seamlessly with Google Sheets. Develop ensemble learning models using multiple algorithms (random forest, gradient boosting, neural networks) to predict loan default probabilities. Include feature engineering for complex financial datasets, implement cross-validation techniques, and create an interactive dashboard showing model performance, feature importance, and real-time default risk assessments.