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Table of Contents
Dedication
Foreword
Preface
Acknowledgments
Chapter 1 Introduction
Summary
Data Science Concepts and Practice provides a comprehensive understanding of data science techniques and their practical implementations. The book emphasizes the importance of data science in modern organizations and explains the fundamental concepts behind various data science techniques. It covers a wide range of topics including machine learning, predictive analytics, and data mining. The authors, Vijay Kotu et al, highlight the value of data science in uncovering hidden patterns and relationships within data. The book also introduces RapidMiner as a tool for implementing data science algorithms. Overall, Data Science Concepts and Practice serves as a valuable resource for professionals looking to enhance their data analysis skills.