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If you’re already an expert in machine learning with experience using machine learning algorithms on the job, then this isn’t the book for you. That said, this book is also not a comprehensive guide to machine learning. It focuses on explaining the practical applications of machine learning, creating a foundation for the end-to-end machine learning process. The content in this book assumes that you have some basic knowledge of Python, which is the only main prerequisite. For example, understanding the general syntax of pandas will be helpful. If you don’t have any experience with Python, I’d recommend consulting resources that best fit your learning style. A great introductory option is W3 Schools (https://www.w3schools.com/), where you can find high-level, Python-specific learning content for free. This book was written with three primary personas in mind:
-Analyst with some coding experience
-Undergraduate student looking for applied experience
-Nontechnical leader of an analytics team