Data science and machine learning using python / (Record no. 22683)

MARC details
000 -LEADER
fixed length control field 02429nam a22001817a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789355322142
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number THA
100 ## - MAIN ENTRY--AUTHOR NAME
Author name Thareja, Reema
245 ## - TITLE STATEMENT
Title Data science and machine learning using python /
Statement of responsibility, etc Reema Thareja
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Chennai :
Name of publisher McGraw Hill Education (India) Private Limited,
Year of publication © 2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xviii, 621 pages :
Other physical details illustrations ;
Dimensions 28 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Preface<br/><br/>Chapter 1: Basics of Python Programming<br/>Chapter 2: Data Structures in Python<br/>Chapter 3: Functions and Modules<br/>Chapter 4: Data Handling Using Numpy<br/>Chapter 5: Working with Panda<br/>Chapter 6: Plotting Graphs<br/>Chapter 7: File Handling<br/>Chapter 8: Interfacing Python With MYSQL<br/>Chapter 9: Introduction to Machine Learning <br/>Chapter 10: Regression Analysis in Machine Learning<br/>Chapter 11: Classification and Clustering <br/>Chapter 12: Advanced Learning
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. 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. 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/><br/>Key Features<br/><br/>• The language is simple and easy to understand<br/>• Glossary of important terms at the end of each chapter<br/>• Comprehensive exercises for better clarity<br/>• Lots of executed programs for more practice <br/>• Appendices to give additional information
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Data science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Python
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Bill Date Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Institute of Public Enterprise, Library Institute of Public Enterprise, Library S Campus 08/10/2023 Professional Book Services 750.00 04-08-2023 005.133 THA 47687 08/10/2023 Books
    Dewey Decimal Classification     Institute of Public Enterprise, Library Institute of Public Enterprise, Library S Campus 08/10/2023 Professional Book Services 750.00 04-08-2023 005.133 THA 47688 08/10/2023 Books

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