Book Description: HandsOn Entity Resolution A Practical Guide to Data Matching With Python is a comprehensive guide that provides a step-by-step approach to understanding data matching techniques using Python programming language. The book covers various aspects of entity resolution, including data preprocessing, feature selection, and machine learning algorithms. It also discusses the challenges associated with entity resolution and offers practical solutions to overcome these challenges. This book is designed for developers, data scientists, and analysts who want to learn how to use Python for entity resolution tasks. The book begins by introducing the concept of entity resolution and its importance in data analysis. It then delves into the technical details of data preprocessing, feature selection, and machine learning algorithms used in entity resolution. The book also explores the challenges associated with entity resolution, such as dealing with incomplete or inconsistent data, handling large datasets, and avoiding false positives or negatives. Throughout the book, the author provides practical examples and exercises to help readers understand the concepts and apply them to real-world scenarios. The book concludes with a case study that demonstrates the application of entity resolution in a real-world scenario.

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