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
Gespeichert in:
Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Milton
CRC Press LLC
2024
|
Ausgabe: | 1st ed |
Schriftenreihe: | Chapman and Hall/CRC the Python Series
|
Links: | https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=31151148 |
Zusammenfassung: | 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 |
Beschreibung: | Description based on publisher supplied metadata and other sources |
Umfang: | 1 Online-Ressource (186 pages) Illustrationen |
ISBN: | 9781040010402 |
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isbn | 9781040010402 |
language | English |
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series2 | Chapman and Hall/CRC the Python Series |
spellingShingle | Wu, Di Data Mining with Python Theory, Application, and Case Studies |
title | Data Mining with Python Theory, Application, and Case Studies |
title_auth | Data Mining with Python Theory, Application, and Case Studies |
title_exact_search | Data Mining with Python Theory, Application, and Case Studies |
title_full | Data Mining with Python Theory, Application, and Case Studies |
title_fullStr | Data Mining with Python Theory, Application, and Case Studies |
title_full_unstemmed | Data Mining with Python Theory, Application, and Case Studies |
title_short | Data Mining with Python |
title_sort | data mining with python theory application and case studies |
title_sub | Theory, Application, and Case Studies |
work_keys_str_mv | AT wudi dataminingwithpythontheoryapplicationandcasestudies |