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Big data analytics : applications in business and marketing / Kiran Chaudhary and Mansaf Alam.

By: Contributor(s): Material type: TextTextPublisher: Boca Raton, FL : CRC Press, 2022Edition: First editionDescription: pages cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032007885
  • 9781032187662
Subject(s): DDC classification:
  • 005 23/eng/20211104
LOC classification:
  • HF5548.2 .C474 2022
Summary: "Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books RLKU Library & Information Resource Center 005 CHA (Browse shelf(Opens below)) Available 12981
Books Books RLKU Library & Information Resource Center 005 CHA (Browse shelf(Opens below)) Available 12982
Books Books RLKU Library & Information Resource Center 005 CHA (Browse shelf(Opens below)) Available 12983
Books Books RLKU Library & Information Resource Center 005 CHA (Browse shelf(Opens below)) Available 12984
Books Books RLKU Library & Information Resource Center 005 CHA (Browse shelf(Opens below)) Available 12985

Includes bibliographical references and index.

"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"-- Provided by publisher.

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