Outlier Detection in Python

By: Brett Kennedy

Write A Review

Hardcover | 30 January 2025

At a Glance

Hardcover
536 Pages

Dimensions(cm)
23.3 x 18.8 x 3.3

Hardcover

$141.75

or 4 interest-free payments of $35.44 with

or

Ships in 10 to 15 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.