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Outlier Detection in Python

Af: Brett Kennedy Engelsk Hardback

Outlier Detection in Python

Af: Brett Kennedy Engelsk Hardback
Tjek vores konkurrenters priser

Learn how to find the unusual, interesting, extreme, or inaccurate parts of your data.

Outliers can be the most informative parts of your data, revealing hidden insights, novel patterns, and potential problems. For a business, this can mean finding new products, expanding markets, and flagging fraud or other suspicious activity. Outlier Detection in Python introduces the tools and techniques you''ll need to uncover the parts of a dataset that don''t look like the rest, even when they''re the more hidden or intertwined among the expected bits.

In Outlier Detection in Python you''ll learn how to:

  • Use standard Python libraries to identify outliers
  • Pick the right detection methods
  • Combine multiple outlier detection methods for improved results
  • Interpret your results
  • Work with numeric, categorical, time series, and text data


Outlier detection (OD) is a vital tool for everything from financial auditing to network security. OD techniques also work for testing datasets for quality, collection errors, and data drift. This unique guide introduces the core tools of outlier detection like scikit-learn and PyOD, the principal algorithms used in outlier detection, and common pitfalls you might encounter.

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Tjek vores konkurrenters priser
Normalpris
kr 716
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Learn how to find the unusual, interesting, extreme, or inaccurate parts of your data.

Outliers can be the most informative parts of your data, revealing hidden insights, novel patterns, and potential problems. For a business, this can mean finding new products, expanding markets, and flagging fraud or other suspicious activity. Outlier Detection in Python introduces the tools and techniques you''ll need to uncover the parts of a dataset that don''t look like the rest, even when they''re the more hidden or intertwined among the expected bits.

In Outlier Detection in Python you''ll learn how to:

  • Use standard Python libraries to identify outliers
  • Pick the right detection methods
  • Combine multiple outlier detection methods for improved results
  • Interpret your results
  • Work with numeric, categorical, time series, and text data


Outlier detection (OD) is a vital tool for everything from financial auditing to network security. OD techniques also work for testing datasets for quality, collection errors, and data drift. This unique guide introduces the core tools of outlier detection like scikit-learn and PyOD, the principal algorithms used in outlier detection, and common pitfalls you might encounter.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 560
ISBN-13: 9781633436473
Indbinding: Hardback
Udgave:
ISBN-10: 1633436470
Kategori: Programmerings- & scriptsprog
Udg. Dato: 30 jan 2025
Længde: 33mm
Bredde: 188mm
Højde: 233mm
Forlag: Manning Publications
Oplagsdato: 30 jan 2025
Forfatter(e): Brett Kennedy
Forfatter(e) Brett Kennedy

Kategori Programmerings- & scriptsprog

ISBN-13 9781633436473

Sprog Engelsk

Indbinding Hardback

Sider 560

Udgave

Længde 33mm

Bredde 188mm

Højde 233mm

Udg. Dato 30 jan 2025

Oplagsdato 30 jan 2025

Forlag Manning Publications