Introduction to Machine Learning with Python: A Guide for Data Scientists (Record no. 573)
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| 000 -LEADER | |
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| fixed length control field | 00484nam a2200157Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190215s9999||||xx |||||||||||||| ||und|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789352134571 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | Mul |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Muller, Andreas. |
| 9 (RLIN) | 1730 |
| 245 #0 - TITLE STATEMENT | |
| Title | Introduction to Machine Learning with Python: A Guide for Data Scientists |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Navi Mumbai |
| Name of publisher, distributor, etc. | Shroff Publishers & Distributors |
| Date of publication, distribution, etc. | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 376p. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Mining - Python |
| 9 (RLIN) | 1731 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Guido, Sarah. |
| 9 (RLIN) | 1732 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Koha issues (borrowed), all copies | 8 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal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 | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Technical | IIT Goa Central Library | IIT Goa Central Library | 2021-10-04 | Shankar's Book Agency Pvt. Ltd. | 1200.00 | 17 | 4 | 005.133/Mul | 1439 | 2024-09-23 | 2024-07-23 | 1 | 2019-02-15 | Books | IN22808/18-19|| 03-08-18|| 25.00% |