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### Beginner Note # Build a regression model using Scikit-learn: regression four ways
## Beginner Note
Linear regression is used when we want to predict a **numerical value** (for example, house price, temperature, or sales). 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. 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. 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) ![Linear vs polynomial regression infographic](./images/linear-polynomial.png)
> Infographic by [Dasani Madipalli](https://twitter.com/dasani_decoded) > Infographic by [Dasani Madipalli](https://twitter.com/dasani_decoded)
## [Pre-lecture quiz](https://ff-quizzes.netlify.app/en/ml/) ## [Pre-lecture quiz](https://ff-quizzes.netlify.app/en/ml/)

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