Drone-supported Internet of Things (IoT) networks and machine learning (ML) have revolutionized several industries and significantly increased the ability to collect data and make decisions. The constantly changing field of machine learning (ML) applications in networks supporting drone-assisted Internet of Things (IoT). Navigation, real-time data processing, resource management, and autonomous navigation are highlighted as critical areas of progress, and it also looks ahead to prospects. By tackling issues like security protocols, and optimized communication techniques within drone-enabled IoT ecosystems, the integration of ML in these contexts promises to improve operational efficiency, scalability, and adaptability. With further research, these technologies should be vital in forming the upcoming generation of intelligent and adaptable IoT infrastructures. The chapter focuses on Future Directions and Emerging Trends along with the opportunities. It also explores various applications like Cybersecurity, Ethical and Legal Aspects, Meta-Learning Usage in The UAV Field, etc.