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ML-For-Beginners/2-Regression/1-Tools/README.md

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# Introduction to Machine Learning
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Add a sketchnote if possible/appropriate
![Embed a video here if available](video-url)
## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/5/)
Describe what we will learn
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### Introduction
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In this lesson, you will learn:
- How to configure Visual Studio Code for machine learning tasks
- An introduction to Scikit-Learn, including installation
- Some tips on working with Python for ML
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### 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
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## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/6/)
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## Review & Self Study
**Assignment**: [Assignment Name](assignment.md)