Week 5 · 45-60 min
Getting Started with scikit-learn
Week Summary
A quick preview of the main ideas in this week before you begin the slides.
- Recap: Why scikit-learn?
- The scikit-learn Workflow
- Importing scikit-learn Tools
- Creating a Simple Model Object
Glossary
Review these key terms before starting this week. They are kept simple so students can learn the new vocabulary before moving into the slides.
- Recap: Why scikit-learn?
- Recap: Why scikit-learn?
- The scikit-learn Workflow
- The scikit-learn Workflow
- Importing scikit-learn Tools
- Importing scikit-learn Tools
Recap: Why scikit-learn?
Progress
1 / 8
Set up and run a first simple scikit-learn program.
Read one card at a time. Focus on the main idea first, then look at the visual on the right to help it stick.
It is free, beginner-friendly, and works offline after setup.
It provides ready-made tools for common ML tasks.
Its code patterns are consistent across models.
No GPU or cloud service is required.
It is widely used in real small-scale ML work.
Remember
scikit-learn is powerful enough for real learning and simple enough for beginners.
Recap: Why scikit-learn?
Slide 1 of 8
Use arrows or dots to move through the lesson
Practice
- Write 2-3 sentences about what you learned this week.
Coming Next Week: Next: Linear Regression Basics