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    <subfield code="a">Practical Approach to Learn and Practice Python Programming Basics to Machine Learning /</subfield>
    <subfield code="c">by Lalita Kumari and Radhey Shyam</subfield>
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    <subfield code="a">Preface
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</subfield>
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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.

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