Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book, by Carlos Andre Reis Pinheiro and Mike Patetta, introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to pick the best techniques and models and then implement those models to successfully address the original business need.
Table of Contents and Book Excerpt
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