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Causal Inference in Python : (Record no. 34950)

MARC details
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781098140250
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Author Mark FAC-C
100 ## - MAIN ENTRY--AUTHOR
Author Name Facure, Matheus
245 ## - TITLE STATEMENT
Title Causal Inference in Python :
Sub-Title Applying Causal Inference in the Tech Industry /
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publication USA:
Name of publisher, distributor, etc. O'Reilly Media press,
Date of publication, distribution, etc. 2023.
300 ## - PHYSICAL DESCRIPTION
Pages xix, 385p
Dimensions 20.5 x 27cm
500 ## - GENERAL NOTE
General note Includes index.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject / Department In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Full Call Number Accession No./Barcode Date last seen Koha item type
    Computer Science Air University Multan Campus Library Air University Multan Campus Library 05/21/2025 Ali book service 005.133 FAC-C P004955 05/21/2025 Book
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