In the fast-evolving landscape of technology, the synergy between Machine Learning (ML) and Deep Learning (DL) has ushered in a new era of innovation, and their integration with Internet of Things (IoT) applications is at the forefront of this transformative wave. This book, "Machine Learning and Deep Learning for IoT Applications," is designed to be a comprehensive and insightful guide for those seeking to harness the power of ML and DL in the context of IoT. The Internet of Things has ushered in an era of unprecedented connectivity, generating vast amounts of data from various sensors and devices. ML and DL offer the means to extract valuable insights from this data, making IoT applications smarter, more efficient, and adaptive. In this book, we explore the foundational concepts of ML and DL, delving into their underlying principles, algorithms, and techniques. Through practical examples and real-world use cases, we demonstrate how ML and DL can be applied to IoT applications, such as predictive maintenance, anomaly detection, and smart decision-making. Whether you're a novice or an experienced practitioner, this book is intended to provide you with the knowledge and tools needed to unlock the potential of Machine Learning and Deep Learning within the exciting realm of IoT.