This book is designed to provide a comprehensive guide for anyone who is preparing for a machine learning interview. It covers a wide range of topics, including the basics of machine learning, algorithms, data preprocessing, feature selection, model evaluation till the deployment. The book also includes a collection of commonly asked interview questions, along with detailed explanations and examples, to help readers gain a better understanding of the concepts. The book is organized in a way that makes it easy to follow, regardless of your level of expertise in machine learning. The first section provides a fundamental understanding of machine learning and covers the high-level essential concepts that one needs to know before diving deep into each individual topic. The later individual chapters dive into more details from beginner level interview questions to advance level. This book is not only for individuals who are preparing for interviews but also for those who want to expand their knowledge of machine learning. It can be used as a self-study guide or as a supplementary resource for students who are studying machine learning in college. It can be a very handy book for interviewers for quick candidate evaluation.