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(Ebook) Outlier Detection in Python (MEAP V01) by Brett Kennedy ISBN 9781633436473, 1633436470

  • SKU: EBN-56616026
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$ 32 $ 40 (-20%)

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4.7

7 reviews
Instant download (eBook) Outlier Detection in Python (MEAP V01) after payment.
Authors:Brett Kennedy
Pages:283 pages.
Year:2024
Language:english
File Size:7.76 MB
Format:pdf
ISBNS:9781633436473, 1633436470
Categories: Ebooks

Product desciption

(Ebook) Outlier Detection in Python (MEAP V01) by Brett Kennedy ISBN 9781633436473, 1633436470

Outlier Detection in Python is a comprehensive guide to the statistical methods, machine learning, and deep learning approaches you can use to detect outliers in different types of data. Throughout the book, you’ll find real-world examples taken from author Brett Kennedy’s extensive experience developing outlier detection tools for financial auditors and social media analysis. Plus, the book’s emphasis on interpretability ensures you can identify why your outliers are unusual and make informed decisions from your detection results. Each key concept and technique is illustrated with clear Python examples. All you’ll need to get started is a basic understanding of statistics and the Python data ecosystem.
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