Research Compendium on IoT and Machine Learning is volume that explores the intersection of the Internet of Things (IoT) and machine learning. It key concepts, architectures, algorithms, and applications, offering insights into how intelligent systems leverage IoT data for predictive analytics, automation, and decision-making. Topics such as edge computing, deep learning, security challenges, and real-world implementations, this serves as a valuable resource for researchers, engineers, and professionals seeking to understand and develop cutting-edge solutions in smart environments, healthcare, industrial automation, and beyond.