Adaptive Kubernetes Deployment Health Monitoring System

Create a sophisticated Python monitoring tool that performs real-time health analysis of Kubernetes deployments, using predictive algorithms to detect potential failures before they occur. The system should integrate with Prometheus and generate actionable insights, including: pod resource utilization trends, anomaly detection in deployment patterns, automatic recommendation of scaling strategies, and intelligent alert prioritization. Implement machine learning models to predict potential infrastructure bottlenecks.