second group of lessons

2-Tooling/1-tools/README.md

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+# Introduction to Machine Learning
+
+Add a sketchnote if possible/appropriate
+
+![Embed a video here if available](video-url)
+
+## [Pre-lecture quiz](link-to-quiz-app)
+
+Describe what we will learn
+
+### Introduction
+
+Describe what will be covered
+
+> Notes
+
+### 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
+
+## [Post-lecture quiz](link-to-quiz-app)
+
+## Review & Self Study
+
+**Assignment**: [Assignment Name](assignment.md)

2-Tooling/1-tools/assignment.md

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+# Assignment Name
+
+## Instructions
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+|          |           |          |                   |

2-Tooling/2-programming/README.md

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+# Introduction to Machine Learning
+
+Add a sketchnote if possible/appropriate
+
+![Embed a video here if available](video-url)
+
+## [Pre-lecture quiz](link-to-quiz-app)
+
+Describe what we will learn
+
+### Introduction
+
+Describe what will be covered
+
+> Notes
+
+### 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
+
+## [Post-lecture quiz](link-to-quiz-app)
+
+## Review & Self Study
+
+**Assignment**: [Assignment Name](assignment.md)

2-Tooling/2-programming/assignment.md

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+# Assignment Name
+
+## Instructions
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+|          |           |          |                   |

2-Tooling/3-math/README.md

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+# Introduction to Machine Learning
+
+Add a sketchnote if possible/appropriate
+
+![Embed a video here if available](video-url)
+
+## [Pre-lecture quiz](link-to-quiz-app)
+
+Describe what we will learn
+
+### Introduction
+
+Describe what will be covered
+
+> Notes
+
+### 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
+
+## [Post-lecture quiz](link-to-quiz-app)
+
+## Review & Self Study
+
+**Assignment**: [Assignment Name](assignment.md)

2-Tooling/3-math/assignment.md

@@ -0,0 +1,9 @@
+# Assignment Name
+
+## Instructions
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+|          |           |          |                   |

2-Tooling/4-algorithms/README.md

@@ -0,0 +1,53 @@
+# Introduction to Machine Learning
+
+Add a sketchnote if possible/appropriate
+
+![Embed a video here if available](video-url)
+
+## [Pre-lecture quiz](link-to-quiz-app)
+
+Describe what we will learn
+
+### Introduction
+
+Describe what will be covered
+
+> Notes
+
+### 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
+
+## [Post-lecture quiz](link-to-quiz-app)
+
+## Review & Self Study
+
+**Assignment**: [Assignment Name](assignment.md)

2-Tooling/4-algorithms/assignment.md

@@ -0,0 +1,9 @@
+# Assignment Name
+
+## Instructions
+
+## Rubric
+
+| Criteria | Exemplary | Adequate | Needs Improvement |
+| -------- | --------- | -------- | ----------------- |
+|          |           |          |                   |

2-Tooling/README.md

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+# Tools of the Trade for Machine Learning
+
+In this section, you will learn about the tools that are useful for machine learning, essential software that will help you master the field. In addition, you will find lessons here about programming basics, useful math, and algorithms that you'll use as you become more skilled.
+
+### Topics
+
+1. [Tools of the Trade](1-tools/README.md)
+2. [Programming Basics](2-programming/README.md)
+3. [Basic Math](3-math/README.md)
+4. [Useful Algorithms](3-algorithms/README.md)
+
+### Credits
+
+"Introduction to" was written with ♥️ by [Name](Twitter)

README.md

@@ -58,11 +58,16 @@ By ensuring that the content aligns with projects, the process is made more enga
 
 > **A note about quizzes**: All quizzes are contained [in this app](link a quiz app here), for 48 total quizzes of three questions each. They are linked from within the lessons but the quiz app can be run locally; follow the instruction in the `quiz-app` folder.
 
-|       | Project Name/Group |         Concepts Taught          | Learning Objectives                                                  |                 Linked Lesson                 | Written Lesson | Sketchnote | Assignment | Starting Quiz | Ending Quiz | Video | Author |
-| :---: | :----------: | :------------------------------: | -------------------------------------------------------------------- | :-------------------------------------------: | :------------: | :--------: | :--------: | :-----------: | :---------: | :---: | :----: |
-|  01   | Introduction | Introduction to Machine Learning | Learn the basic concepts behind Machine Learning                     |  [link](1/../lesson/1-intro-to-ML/README.md)  |                |            |            |               |             |       | Author |
-|  02   |   History    | The History of Machine Learning  | Learn the history underlying this field                              | [link](1/../lesson/2-history-of-ML/README.md) |                |            |            |               |             |       | Author |
-|  03   |    Ethics    |  The Ethics of Machine Learning  | Learn the ethics that are important to understand when working in ML | [link](1/../lesson/3-ethics-of-ML/README.md)  |                |            |            |               |             |       | Author |
+
+|       | Project Name/Group |            Concepts Taught             | Learning Objectives                                                        |                  Linked Lesson                   | Written Lesson | Sketchnote | Assignment | Starting Quiz | Ending Quiz | Video | Author |
+| :---: | :----------------: | :------------------------------------: | -------------------------------------------------------------------------- | :----------------------------------------------: | :------------: | :--------: | :--------: | :-----------: | :---------: | :---: | :----: |
+|  01   |    Introduction    |    Introduction to Machine Learning    | Learn the basic concepts behind Machine Learning                           |  [link](1-Introduction/1-intro-to-ML/README.md)  |                |            |            |               |             |       | Author |
+|  02   |    Introduction    |    The History of Machine Learning     | Learn the history underlying this field                                    | [link](1-Introduction/2-history-of-ML/README.md) |                |            |            |               |             |       | Author |
+|  03   |    Introduction    |     The Ethics of Machine Learning     | Learn the ethics that are important to understand when working in ML       | [link](1-Introduction/3-ethics-of-ML/README.md)  |                |            |            |               |             |       | Author |
+|  04   |      Tooling       |           Tools of the Trade           | Get set up to become an ML Programmer                                      |      [link](2-Tooling/1-tools/README.md)       |                |            |            |               |             |       | Author |
+|  05   |      Tooling       | Programming for Machine Learning Tasks | Learn basic strategies for programming for ML, using Python and JavaScript |  [link](1-Introduction/2-programming/README.md)  |                |            |            |               |             |       | Author |
+|  06   |      Tooling       |           Math Basics for ML           | Basic mathematics tasks useful for Machine Learning                        |    [link](2-Tooling/lesson/3-math/README.md)     |                |            |            |               |             |       | Author |
+|  07   |      Tooling       |         Algorithms of Interest         | Learn useful algorithms that you might use for various ML tasks            |     [link](2-Tooling4-algorithms/README.md)      |                |            |            |               |             |       | Author |
 
 ## Offline access