Data Mining with Python: Theory, Application, and Case Studies

This book focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.

Author: Di Wu
Publisher: CRC Press
Published: 04/10/2024
Pages: 390
Binding Type: Paperback
Weight: 1.58lbs
Size: 10.00h x 7.00w x 0.85d
ISBN: 9781032598901

Review Citation(s):
Choice 03/01/2025

About the Author

Dr. Di Wu is an Assistant Professor of Finance, Information Systems, and Economics department of Business School, Lehman College. He obtained a Ph.D. in Computer Science from the Graduate Center, CUNY. Dr. Wu's research interests are 1) Temporal extensions to RDF and semantic web, 2) Applied Data Science, and 3) Experiential Learning and Pedagogy in business education. Dr. Wu developed and taught courses including Strategic Management, Databases, Business Statistics, Management Decision Making, Programming Languages (C++, Java, and Python), Data Structures and Algorithms, Data Mining, Big Data, and Machine Learning.