Authored by experts Andreas C. Müller and Sarah Guido, this guide emphasizes practical applications using the Python programming language and the Scikit-Learn library. Readers are taken on a journey from foundational concepts to more advanced topics, all while gaining an understanding of the algorithms and techniques used in real-world data science tasks. Perfect for those new to machine learning or looking for a refresher, the book offers practical code examples, visualization techniques, and insightful explanations to empower data scientists and enthusiasts alike.
