£37.00

Outlier Detection in Python

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Price History & Forecast

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Last 293 days • 293 data points (No recent data available)

Historical
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£52.17 £35.48 £39.12 £42.76 £46.41 £50.05 £53.69 01 March 2025 13 May 2025 25 July 2025 06 October 2025 18 December 2025

Price Distribution

Price distribution over 293 days • 7 price levels

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Current Price
185 days · current 19 days 11 days 17 days 16 days 23 days 22 days 0 46 93 139 185 £37 £40 £41 £42 £43 £47 £52 Days at Price

Price Analysis

Most common price: £37 (185 days, 63.1%)

Price range: £37 - £52

Price levels: 7 different prices over 293 days

Description

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.

Key Features

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Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 January 2025
Listed Since
22 August 2024

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