Hands-on exploratory data analysis with python : (Record no. 94443)

MARC details
000 -LEADER
fixed length control field 01994nam a2200217Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250220b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789537253
Qualifying information pbk.
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.420285
Item number SUR
100 ## - MAIN ENTRY--AUTHOR NAME
Author name Suresh Kumar Mukhiya
245 #0 - TITLE STATEMENT
Title Hands-on exploratory data analysis with python :
Remainder of title perform eda techniques To understand, summarize, ani Investigate your data /
Statement of responsibility, etc. Suresh Kumar Mukhiya, Usman Ahmed.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Birmingham, UK :
Name of publisher, distributor, etc. Packt Publishing Ltd.
Date of publication, distribution, etc. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 352 p. :
Dimensions 19.1 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes appendix and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Hands-on Exploratory Data Analysis with Python" by Mukhiya and Ahmed provides a practical guide to mastering EDA techniques. The book emphasizes a hands-on approach, utilizing Python libraries like PyPlot, NumPy, SciPy, pandas, Matplotlib, and Seaborn. It covers the core aspects of EDA, from data cleaning and preparation to exploration and visualization. Readers learn to analyze open-source datasets, progressing from basic descriptive statistics to advanced time-series analysis. A key focus is on using EDA for model development and evaluation, culminating in building predictive models and visualizing results. The book explores data wrangling, handling missing values, identifying correlations, and performing graphical analysis. It also delves into multiple regression, hypothesis testing, and time-series analysis. Practical examples and real-world datasets are used throughout, making the concepts accessible. The book is designed for individuals interested in data analysis, including students, statisticians, data analysts, and data scientists, assuming basic Python programming and statistical knowledge. It equips readers with the skills to investigate datasets, extract insights, present findings visually, and build predictive models for informed decision-making.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Usman Ahmed
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type English Books
Holdings
Koha item type Home library Current library Shelving location Date acquired Cost, normal purchase price Bill Number Accession Number Full call number Withdrawn status Lost status Not for loan Collection
Reference Kalaignar Centenary Library Madurai Kalaignar Centenary Library Madurai நான்காம் தளம் / Fourth floor 26/05/2023 2299.00 S009/2023-24 252236 001.420285 SUR       ENGLISH-REFERENCE BOOKS
English Books Kalaignar Centenary Library Madurai Kalaignar Centenary Library Madurai மூன்றாம் தளம் / Third floor 26/05/2023 2299.00 S009/2023-24 252237 001.420285 MUK       ENGLISH - LENDING BOOKS
English Books Kalaignar Centenary Library Madurai Kalaignar Centenary Library Madurai மூன்றாம் தளம் / Third floor 26/05/2023 2299.00 S009/2023-24 252238 001.420285 MUK       ENGLISH - LENDING BOOKS

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