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# Build a Regression Model using Scikit-Learn: Data
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> Sketchnote
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## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/7/)
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### Introduction
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In this lesson, you will learn:
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- Good reasons to create a regression model for a machine learning problem
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- Some math behind regression models
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- Using Scikit-Learn to evaluate your data
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- Preparing your data for training, testing, and evaluation
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### Prerequisite
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What steps should have been covered before this lesson?
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### Preparation
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Preparatory steps to start this lesson
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---
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[Step through content in blocks]
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## [Topic 1]
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### Task:
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Work together to progressively enhance your codebase to build the project with shared code:
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```html
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code blocks
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```
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✅ Knowledge Check - use this moment to stretch students' knowledge with open questions
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## [Topic 2]
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## [Topic 3]
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🚀 Challenge: Add a challenge for students to work on collaboratively in class to enhance the project
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Optional: add a screenshot of the completed lesson's UI if appropriate
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## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/8/)
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## Review & Self Study
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**Assignment**: [Assignment Name](assignment.md)
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