Streaming Platform Revenue Forecasting Model

Develop a comprehensive Python-based predictive revenue model for a streaming platform using pandas and scikit-learn. The model should incorporate multiple data sources including user engagement metrics, subscription tiers, content release schedules, and seasonal viewing patterns. Create a machine learning pipeline that can forecast monthly recurring revenue with 85% accuracy, including confidence intervals and feature importance analysis. Implement robust error handling and generate an interactive dashboard using Plotly or Dash that allows executives to explore different scenario projections.