Machine Learning for Absolute Beginners and " is a comprehensive and beginner-friendly guide to understanding the fundamentals of machine learning. The book provides an easy-to-follow introduction to the basics of machine learning and covers various topics such as supervised and unsupervised learning, deep learning, neural networks, and evaluation techniques.The author has used plain language and examples that are easy to understand, making it accessible for beginners who have little to no prior experience in machine learning. The book is also supported by visual aids and practical exercises that help readers gain hands-on experience in using machine learning algorithms and techniques.Readers will learn how to prepare data, select appropriate algorithms, train models, and evaluate their performance. The book also includes real-world examples and case studies to help readers understand how machine learning is being used in various industries such as healthcare, finance, and e-commerce.Overall, and "Machine Learning for Absolute Beginners and " is an excellent resource for those who are new to machine learning and want to learn the basics of this fascinating field.