This book is written to provide a solid foundation in machine learning using Python libraries by providing case studies and real-life examples. It covers topics such as the fundamentals of machine learning, the introduction to Python. It is intended for students studying machine learning in their Undergraduate and Post graduate courses in Information Technology, Computer Engineering, Electronics and Communications Engineering and Electrical Engineering. An introduction to a wide range of deep learning topics, covering conceptual and mathematical backgrounds, deep learning techniques used in industry, and research perspectives.