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### Beginner Note
Linear regression is used when we want to predict a **numerical value** (for example, house price, temperature, or sales).
It works by finding a straight line that best represents the relationship between input features and the output.
In this lesson, we focus on understanding the concept before exploring more advanced regression techniques.
# Build a regression model using Scikit-learn: regression four ways
![Linear vs polynomial regression infographic](./images/linear-polynomial.png)

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