Content Production Cost Optimization Framework

Design a Python-powered cost optimization framework for media content production that uses machine learning to predict and minimize production expenses. Develop an algorithm that analyzes historical production data, integrates market trends, and provides real-time recommendations for budget allocation across different content types. Implement a comprehensive scoring system that evaluates production efficiency, potential return on investment, and resource utilization using advanced statistical modeling techniques.