Rock vs Mine Signal Classification System

Implemented a supervised learning classification system to distinguish between sonar signals reflected from rocks and mines. The project involved structured data analysis, model training, and performance evaluation within a cloud-based computational environment to ensure scalability and efficiency. This solution demonstrates the application of machine learning to pattern recognition problems, highlighting its relevance in defense analytics, signal intelligence, and real-time decision systems.