Di Wu

Data Mining with Python

Theory, Application, and Case Studies

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Chapman & Hall/CRC The Python Series
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 416
• Erscheinungstermin: 10. April 2024
• Englisch
• Abmessung: 254mm x 178mm x 22mm
• Gewicht: 766g
• ISBN-13: 9781032598901
• ISBN-10: 1032598905
• Artikelnr.: 69789830

Autorenporträt

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.

Inhaltsangabe

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