000			02429nam a22001817a 4500
999			_c22683 _d22683
020			_a9789355322142
082			_a005.133 _bTHA
100			_aThareja, Reema
245			_aData science and machine learning using python / _cReema Thareja
260			_aChennai : _bMcGraw Hill Education (India) Private Limited, _c© 2023.
300			_axviii, 621 pages : _billustrations ; _c28 cm.
505			_aPreface Chapter 1: Basics of Python Programming Chapter 2: Data Structures in Python Chapter 3: Functions and Modules Chapter 4: Data Handling Using Numpy Chapter 5: Working with Panda Chapter 6: Plotting Graphs Chapter 7: File Handling Chapter 8: Interfacing Python With MYSQL Chapter 9: Introduction to Machine Learning Chapter 10: Regression Analysis in Machine Learning Chapter 11: Classification and Clustering Chapter 12: Advanced Learning
520			_aThe 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. Key Features • The language is simple and easy to understand • Glossary of important terms at the end of each chapter • Comprehensive exercises for better clarity • Lots of executed programs for more practice • Appendices to give additional information
650			_aData science
650			_aMachine learning
650			_aPython
942			_2ddc _cBK