Data Science and Machine Learning using Python (Record no. 38055)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01935nam a22001817a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 978-9355322142 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 THE |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Reema Thareja |
| 245 ## - TITLE STATEMENT | |
| Title | Data Science and Machine Learning using Python |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Mc Graw Hill |
| Place of publication | New Delhi |
| Year of publication | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 640 |
| Other physical details | Item Weight : 770 g Dimensions : 24 x 18.2 x 2.3 cm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The objective of this book is to introduce the concepts of Python programming language in a lucid way so that the reader can easily use these concepts to perform data science and machine learning applications for solving real world problems. The book has been specifically written to serve as a textbook for undergraduate and postgraduate students. It can also be used by professionals who either wish to work in the area of Data Science and Machine Learning using Python or are already working in it.<br/>Every chapter in this book contains multiple programming examples to impart practically sound knowledge of the concept. To further enhance the understanding of the subject, there are numerous objective-type, subjective type and programming exercises at the end of each chapter.<br/><br/>The book aims to impart sound understanding of concepts to acquaint the reader with the techniques and applications in the area. Written in a lucid language, all the concepts in this book are explained using numerous examples and programming exercises. Besides every topic, Programming Tips are given to make the reader aware of some typical errors or important concepts which we otherwise ignore.<br/><br/>Salient Features:<br/><br/>1) The language is simple and easy to understand<br/><br/>2) Glossary of important terms at the end of each chapter<br/><br/>3) Comprehensive exercises for better clarity<br/><br/>4) Lots of executed programs for more practice<br/><br/>5) Appendices to give additional information |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | CSE |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Damaged status | |
| Not for loan | |
| Withdrawn status | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science and Engineering | VAST Central Library | VAST Central Library | S-23/CS | 14/11/2025 | Minerva Books | 825.00 | 86 | 006.31 THE | 38165 | 01/12/2025 | Text Book |