Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Data Mining for Business Analytics is a comprehensive guide to implementing data mining concepts and methods using Python software.

With a new co-author and updated material, this sixth edition covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining, and network analysis.

The book includes case studies demonstrating applications of the techniques described, as well as end-of-chapter exercises to help readers gauge and expand their comprehension and competency of the material.

Whether you're a student or professional looking to gain a deeper understanding of data mining concepts and methods, this text is an ideal resource for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics.