Module 1: Introduction to Machine Learning

This module covers the following topics:

Module content on GitHub: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/01-intro

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Table of contents

• 1. What Is Machine Learning?
• 2. ML vs Rule-Based Systems
• 3. Supervised Machine Learning
• 4. CRISP-DM
• 5. Model Selection
• 6. GitHub Codespaces
• 7. Introduction to NumPy
• 8. Linear Algebra Refresher
• 9. Introduction to Pandas
• 10. Summary