Data Mining for Business Analytics: Concepts, Techniques and Applications in Python van Galit Shmueli, Peter C. Bruce and Peter Gedeck is an English-language textbook that focuses on data mining and business analytics. This book is intended for professionals and students who want to apply statistical and machine learning techniques in Python to business problems.
This edition offers a practical approach to data mining for business, illustrating a variety of algorithms with Python. The content covers prediction models, classification, visualization, dimensionality reduction, recommender systems, clustering, text analysis, and network analysis. In addition, it includes chapters on ethical aspects and various case studies that clarify the applications of data mining for business. The book features practice exercises and a companion website with datasets and additional materials.
This study book aligns with fields such as mathematics and data analysis and is suitable for courses in business analytics and data mining across different levels of education.