Abstract
Machine Learning (ML) has emerged as a transformative technology at the intersection of computer science, statistics, and artificial intelligence. It enables systems to learn patterns from data and improve performance without being explicitly programmed. This research paper provides an in-depth study of machine learning concepts, types, applications across industries, challenges, and future scope. The paper highlights how ML is shaping decision-making, automation, and innovation, while also discussing ethical and technical limitations.
