Information Quality Tools
Edition: 1
Copyright: 2023
Pages: 234
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Acknowledgements
Section I: Computational Thinking with Python: An Introductory Approach to Python Programming
Chapter 1: First Programs in Python
Chapter 2: Data Types and Arrays
Chapter 3: Branching Structures (If/Else,IF/Elseif/Else)
Chapter 4: Introduction to Looping Structures
Chapter 5: Introduction to Functions
Section II: Data Quality and Measurement
Chapter 6: Data Quality and Measurement
Section III: Data Mining for Business Analytics
Chapter 7: Introduction to Data Mining and Business Analytics
Chapter 8: Data Preprocessing
Section IV: Data Mining: Practical Machine Learning Tools and Techniques
Chapter 9: Introduction to Weka
Chapter 10: Input: Concepts, Instances, and Attributes
Chapter 11: Output: Knowledge Representation
Chapter 12: The Explorer