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This book will teach you everything you need to know to build and deploy machine learning models in the real world. We will cover the basics of machine learning, from data preparation to model evaluation. We will also discuss the practical challenges of building and deploying machine learning models, such as data collection, feature engineering, and model selection. By the end of this book, you will be able to: Understand the basics of machine learning Build machine learning models from scratch Evaluate the performance of your machine learning models Deploy your machine learning models to production This book is for anyone who wants to learn how to build and deploy machine learning models in the real world. Whether you are a student, a data scientist, or a business leader, this book will give you the skills you need to make machine learning work for you. Here are some of the topics that will be covered in the book: The different types of machine learning algorithms Data preparation for machine learning Feature engineering for machine learning Model selection for machine learning Model evaluation for machine learning Deploying machine learning models to production The book will also include case studies from real-world companies that have used machine learning to solve their business problems.If you are interested in learning more about machine learning and how to build and deploy machine learning models in the real world, then this book is for you.