This 117-page book is an elementary and practical approach to data science and machine learning. Starting with data preparation and ending with model deployment in a real-world setting, it covers all the steps typically involved in the machine learning life cycle. Along the way, the book explains fundamental machine learning concepts through simple examples, with illustrations to reinforce the readerÕs understanding of the concepts. This book aims to increase readerÕs understanding of the practical applications of machine learning, provide working knowledge of machine learning to apply to a project of interest, and encourage exploration of exciting new developments in this rapidly evolving field.