The Object-Oriented Approach to Problem Solving and Machine Learning with Python
eBook - ePub

The Object-Oriented Approach to Problem Solving and Machine Learning with Python

  1. 406 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Object-Oriented Approach to Problem Solving and Machine Learning with Python

About this book

This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.

Start by solidifying your OOP foundation with clear explanations of core concepts such as use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.

This book doesn't stop at the basics. Explore how OOP empowers fields such as data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.

Each chapter is designed for hands-on learning. You'll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.

Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.

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Yes, you can access The Object-Oriented Approach to Problem Solving and Machine Learning with Python by Sujith Samuel Mathew,Mohammad Amin Kuhail,Maha Hadid,Shahbano Farooq in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. 1 Introduction to Object-Oriented Programming
  7. 2 Python Data Structures
  8. 3 Exception Handling
  9. 4 Fundamentals of Object-Oriented Analysis
  10. 5 Fundamentals of Object-Oriented Design
  11. 6 File Handling, Object Serialization, and Data Persistence
  12. 7 Graphical User Interface with Tkinter
  13. 8 Machine Learning with Python
  14. 9 Natural Language Processing and Text Mining with Python
  15. Appendix A: Installing Python and Environment Setup
  16. Appendix B: Choosing an IDE
  17. Appendix C: Debugging Your Python Program
  18. Appendix D: PEP Style Guide-Coding Standard and Conventions
  19. Index