Data Science and Analytics with Python/ (Record no. 743132)
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000 -LEADER | |
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fixed length control field | 01867nam a22001817a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789393330345 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.312 |
Item number | ARO |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Arora, Sandhya |
245 ## - TITLE STATEMENT | |
Title | Data Science and Analytics with Python/ |
Statement of responsibility, etc | by Sandhya Arora, and Latesh Malik |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Hyderabad: |
Name of publisher | Universities Press, |
Year of publication | 2023. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | x, 488 p. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Data Science and Machine Learning are the leading buzzwords of today. This book covers all aspects of these subjects, from data definition and categorization, classification techniques, clustering and ML algorithms to data stream and association rule mining, language data processing and neural networks. It explains descriptive and inferential statistical analysis, probability distribution and density functions as well as time series. It also describes the fundamentals of Python programming, the Python environment and libraries such as scikit-learn, NumPy and pandas, and takes a deep dive into data visualization modules and tools. Mastery of these areas will enable readers to become proficient and effective data scientists. Salient features • Ideal for undergraduate courses on Data Science and Analytics • Provides step-by-step instructions for setting up the Python environment and executing various libraries and packages • All chapters include relevant case studies, their Python code and output; the last chapter is dedicated to case studies • Over 300 exercise questions comprising MCQs, programming exercises and concept-based questions, with answers provided for quick reference • Bibliography at the end of every chapter for further reading • Android app with chapter-wise PowerPoint slides and job interview questions. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data Science and Analytics with Python |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data Analytics with Python |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Python |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Malik, Latesh |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home Library | Current Location | Shelving location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
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Dewey Decimal Classification | Non-fiction | Dept. of Futures Studies | Dept. of Futures Studies | General Stacks | 03/01/2025 | 006.312 ARO | DFS4656 | 03/01/2025 | Book |