Data mining with Python : theory, application, and case studies / Di Wu.
Material type:
TextSeries: Chapman & Hall/CRC the Python seriesPublisher: Boca Raton : CRC Press, Taylor & Francis Group, 2024Edition: First editionDescription: xxiii, 390 pages : illustrations ; 26 cmContent type: - text
- unmediated
- volume
- 9781040010402
- 9781003462781
- QA 76.9 W8 2024
| Item type | Current library | Shelving location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Book
|
TUP Manila Library | Graduate Program Section-2F | GS QA 76.9 W8 2024 (Browse shelf(Opens below)) | Available | P00034161 |
Includes index.
Includes bibliographic references and index.
Data wrangling
Data collection
Data integration
Data statistics
Data visualization
Data preprocessing
Data analysis
Classification
Regression
Clustering
Frequent patterns
Outlier Detection
"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"-- Provided by publisher.
Description based on print version record and CIP data provided by publisher.
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