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# [Lesson Topic]
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# Introduction to Machine Learning
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Add a sketchnote if possible/appropriate
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# Assignment Name
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## Instructions
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## Rubric
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| Criteria | Exemplary | Adequate | Needs Improvement |
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| -------- | --------- | -------- | ----------------- |
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# Introduction to Machine Learning
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Add a sketchnote if possible/appropriate
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## [Pre-lecture quiz](link-to-quiz-app)
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Describe what we will learn
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### Introduction
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Describe what will be covered
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> Notes
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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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## [Post-lecture quiz](link-to-quiz-app)
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## Review & Self Study
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**Assignment**: [Assignment Name](assignment.md)
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# Introduction to Machine Learning
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Add a sketchnote if possible/appropriate
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## [Pre-lecture quiz](link-to-quiz-app)
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Describe what we will learn
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### Introduction
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Describe what will be covered
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> Notes
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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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## [Post-lecture quiz](link-to-quiz-app)
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## Review & Self Study
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**Assignment**: [Assignment Name](assignment.md)
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# [Assignment Name]
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## Instructions
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## Rubric
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| Criteria | Exemplary | Adequate | Needs Improvement |
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| -------- | --------- | -------- | ----------------- |
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# Introduction to Machine Learning
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In this section of the curriculum, you will be introduced to the base concepts underlying the field of machine learning, its history, and the ethics that are important to understand when embarking on a ML project.
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### Topics
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1. [Introduction to Machine Learning](1-intro-to-ML/README.md)
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2. [The History of Machine Learning](2-history-of-ML/README.md)
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3. [The Ethics of Machine Learning](3-ethics-of-ML/README.md)
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### Credits
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"Introduction to" was written with ♥️ by [Name](Twitter)
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# Getting Started with
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In this section of the curriculum, you will be introduced to ...
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### Topics
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1. [Introduction to](1-intro-to/README.md)
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### Credits
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"Introduction to" was written with ♥️ by [Name](Twitter)
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// index.js
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import en from './en.json';
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import ko from './ko.json';
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import id from './id.json';
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import hi from './hi.json';
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import it from './it.json';
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import ja from './ja.json';
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//export const defaultLocale = 'en';
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const messages = {
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en: en[0],
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ko: ko[0],
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id: id[0],
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hi: hi[0],
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it: it[0],
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ja: ja[0],
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};
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export default messages;
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Reference in new issue