000			02499nam a22002777a 4500
003			OSt
005			20260629084026.0
008			260629b |||||||| |||| 00| 0 eng d
020			_a978-93-5443-767-0
040			_cAKCL
082			_a005.133 _bKUM-P
100			_aKumari, Lalita
100			_aRadhey Shyam
245			_aPractical Approach to Learn and Practice Python Programming Basics to Machine Learning / _cby Lalita Kumari and Radhey Shyam
260			_aDelhi: _bPHI Learning Pvt. Ltd., _c2025
300			_ap. XIV,249
505			_aPreface BASICS OF PYTHON 1. Introduction 2. Literals and Data Types 3. Variables and Operators 4. Interactive Input-Output CORE PYTHON CONCEPTS 5. Control Flow 6. Functions 7. File Handling 8. Object-Oriented Programming (OOP) 9. Modules and Packages 10. Graph Plotting MACHINE LEARNING THROUGH PYTHON 11. Introduction to Machine Learning 12. Data Preprocessing 13. Supervised Learning 14. Unsupervised Learning Index
520			_aThis comprehensive text on Python programming is designed for undergraduate and postgraduate students in Computer Science and Information Technology. Whether you are a beginner or have limited programming knowledge, this book offers a structured learning experience, starting with foundational concepts and progressing to complex topics like machine learning. Divided into three parts, the book ensures a smooth progression from the basics and core concepts of Python to machine learning with Python. It covers fundamental topics such as data types, variables, operators, and interactive input/output, enabling readers to write simple yet effective Python programs. Subsequently, the text explores advanced concepts such as control flow, functions, file handling, object-oriented programming, modules, and data visualization through graph plotting, empowering readers to develop robust and complex Python applications. Finally, the book introduces readers to the world of machine learning, covering essential topics like data preprocessing, supervised and unsupervised learning, and algorithm implementation. The book equips students to excel in Python programming and seamlessly transition into machine learning, enabling them to design and implement customized algorithms for their datasets.
650			_aComputer Science
650			_aArtificial Intelligence
650			_aAI
650			_aSoftware Development
650			_aComputer Programming
942			_cBK
942			_2ddc _n0
999			_c44954 _d44954