Data Science and Analytics with Python/ (Record no. 743132)

MARC details
000 -LEADER
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
Holdings
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
    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