# Build a Regression Model using Scikit-Learn: Data

> Sketchnote
## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/7/)

### Introduction

In this lesson, you will learn:
- Good reasons to create a regression model for a machine learning problem
- Some math behind regression models
- Using Scikit-Learn to evaluate your data
- Preparing your data for training, testing, and evaluation

### Prerequisite

What steps should have been covered before this lesson?

### Preparation

Preparatory steps to start this lesson

---

[Step through content in blocks]

## [Topic 1]

### Task:

Work together to progressively enhance your codebase to build the project with shared code:

```html
code blocks
```

✅ Knowledge Check - use this moment to stretch students' knowledge with open questions

## [Topic 2]

## [Topic 3]

🚀 Challenge: Add a challenge for students to work on collaboratively in class to enhance the project

Optional: add a screenshot of the completed lesson's UI if appropriate

## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/8/)

## Review & Self Study

**Assignment**: [Assignment Name](assignment.md)