Week 6 · 45-60 min
Linear Regression Basics
Week Summary
A quick preview of the main ideas in this week before you begin the slides.
- What Is Linear Regression?
- Understanding the Line of Best Fit
- A Simple Linear Regression Example
- Building the Model in scikit-learn
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.
- What Is Linear Regression?
- What Is Linear Regression?
- Understanding the Line of Best Fit
- Understanding the Line of Best Fit
- A Simple Linear Regression Example
- A Simple Linear Regression Example
What Is Linear Regression?
Progress
1 / 8
Understand and apply a simple linear regression model.
Read one card at a time. Focus on the main idea first, then look at the visual on the right to help it stick.
Linear regression predicts a continuous number.
It assumes a roughly straight-line relationship between input and output.
It is one of the simplest and most interpretable models.
It is a strong starting point for learning regression.
It is often used as a baseline in real ML work.
Remember
Linear regression is a simple, interpretable way to model numeric relationships.
What Is Linear Regression?
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: Classification Basics