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Hands-On Data Preprocessing in Python
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Hands-On Data Preprocessing in Python
by Roy Jafari
Hands-On Data Preprocessing in Python
Hands-On Data Preprocessing in Python
Contributors
About the author
About the reviewers
Preface
Part 1:Technical Needs
Chapter 1: Review of the Core Modules of NumPy and Pandas
Chapter 2: Review of Another Core Module – Matplotlib
Chapter 3: Data – What Is It Really?
Chapter 4: Databases
Part 2: Analytic Goals
Chapter 5: Data Visualization
Chapter 6: Prediction
Chapter 7: Classification
Chapter 8: Clustering Analysis
Part 3: The Preprocessing
Chapter 9: Data Cleaning Level I – Cleaning Up the Table
Chapter 10: Data Cleaning Level II – Unpacking, Restructuring, and Reformulating the Table
Chapter 11: Data Cleaning Level III – Missing Values, Outliers, and Errors
Chapter 12: Data Fusion and Data Integration
Chapter 13: Data Reduction
Chapter 14: Data Transformation and Massaging
Part 4: Case Studies
Chapter 15: Case Study 1 – Mental Health in Tech
Chapter 16: Case Study 2 – Predicting COVID-19 Hospitalizations
Chapter 17: Case Study 3: United States Counties Clustering Analysis
Chapter 18: Summary, Practice Case Studies, and Conclusions
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