Machine learning cookbook with Python : (Record no. 11094)

MARC details
000 -LEADER
fixed length control field 01342nam a22002777i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250723160115.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250723s ii ao||fr|||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789389898002
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GaU‬‬
Transcribing agency EG-GaU‬‬
Modifying agency EG-GaU‬‬
Description conventions rda
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.3
Item number g.r.m.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Guha, Rehan,
Relator term author
9 (RLIN) 60496
245 10 - TITLE STATEMENT
Title Machine learning cookbook with Python :
Remainder of title create ML and data analytics projects using some amazing open datasets /
Statement of responsibility, etc. Rehan Guha.
250 ## - EDITION STATEMENT
Edition statement 1st edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New Delhi :
Name of producer, publisher, distributor, manufacturer BPB Publications,
Date of production, publication, distribution, manufacture, or copyright notice 2020.
300 ## - PHYSICAL DESCRIPTION
Extent 264 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.<br/>
505 #0 - FORMATTED CONTENTS NOTE
Formatted contents note 1. Boston Crime ‡ 2. World Happiness Report ‡ 3. Iris Species ‡ 4. Credit Card Fraud Detection ‡ 5. Heart Disease UCI.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. A cookbook-style guide featuring five practical projects using real datasets to teach machine learning pipelines, model tuning, classification, and data analysis with Python (NumPy, Pandas, scikit-learn). :contentReference[oaicite:1]{index=1}<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
General subdivision Study and teaching.
9 (RLIN) 60492
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data analytics.
9 (RLIN) 60497
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library B4 08/19/2025   006.3 g.r.m MA0002257 08/19/2025 C.1 08/19/2025 Books