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.

List of contents

Section I. Data Wrangling 1. Data Collection. 2. Data Integration 3. Data Statistics 4. Data Visualization 5. Data Preprocessing Section II. Data Analysis 6. Classification 7. Regression 8. Clustering 9. Frequent Patterns 10. Outlier Detection

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.

Summary

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.

Product details

• Authors: DI Wu, Wu Di
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 10.04.2024
• EAN: 9781032598901
• ISBN: 978-1-0-3259890-1
• No. of pages: 390
• Series: Chapman & Hall/CRC The Python Series
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages; Software Engineering, Data Mining, COMPUTERS / Computer Science, COMPUTERS / Software Development & Engineering / General, computer science, Programming & scripting languages: general, Programming and scripting languages: general, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Languages / General