From ef12b154c6f8e48b8bdffcc8e655ff45ddf92dcb Mon Sep 17 00:00:00 2001 From: Lee Stott Date: Fri, 27 Feb 2026 07:55:08 +0000 Subject: [PATCH] Update 2-Regression/3-Linear/README.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- 2-Regression/3-Linear/README.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/2-Regression/3-Linear/README.md b/2-Regression/3-Linear/README.md index 7dca3b9d9..24d893bb8 100644 --- a/2-Regression/3-Linear/README.md +++ b/2-Regression/3-Linear/README.md @@ -1,12 +1,11 @@ -### 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). 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) > Infographic by [Dasani Madipalli](https://twitter.com/dasani_decoded) ## [Pre-lecture quiz](https://ff-quizzes.netlify.app/en/ml/)