Chapter 2 Walkthrough | Python Essentials for Machine Learning | Machine Learning with Python
📖 Machine Learning with Python: Principles and Practical Techniques
Chapter 2 Walkthrough – Python Essentials
In this video, Dr. Parteek Bhatia walks you through Chapter 2: Introduction to Python, from his textbook published by Cambridge University Press.
🔑 Topics Covered in This Chapter
✅ Features & History of Python
✅ Installation & First Program
✅ Identifiers, Keywords & Indentation
✅ Variables & Data Types
✅ Numbers, Strings, Lists & Tuples
✅ Dictionaries & Sets
✅ If Statements & Loops
✅ Functions in Python
✅ Remind Me, Additional Resources, and Test Me (MCQs + QR Code quizzes)
This chapter builds the Python foundation you’ll need for all upcoming machine learning concepts.
📌 Resources
📖 Book page: Cambridge University Press – Machine Learning with Python
https://www.cambridge.org/highereduca...
💻 GitHub Repo (Colab-ready notebooks): bhatiaparteek/ml_with_python
📚 Buy on Amazon India: Buy Now
https://www.amazon.in/Machine-Learnin...
🎓 Instructor Slides: Write to parteek.bhatia@gmail.com
👉 Next Video: Chapter 3 – Data Preprocessing: The Most Important Step in ML Pipelines
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