Marketing data science: Modeling techniques in predictive analytics with R and Python (Record no. 10411)
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000 -LEADER | |
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fixed length control field | 00444nam a2200145Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221102s9999 xx 000 0 und d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789353065744 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 658.80285 MIL-M |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Miller, Thomas W. |
245 #0 - TITLE STATEMENT | |
Title | Marketing data science: Modeling techniques in predictive analytics with R and Python |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Name of publisher, distributor, etc. | Pearson India education |
Place of publication, distribution, etc. | Noida |
Date of publication, distribution, etc. | 2019 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 457 p. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Marketing-Data processing |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date last checked out | Copy number | Price effective from | Koha item type |
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Marketing | FIIB's Knowledge Centre | FIIB's Knowledge Centre | 28.5 | 11/13/2019 | 433.30 | 1 | 1 | 658.80285 MIL-M | 20223 | 09/11/2024 | 07/19/2024 | 1 | 11/03/2022 | Books |