fixing the order of classification/clustering

pull/34/head
Jen Looper 4 years ago
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# Getting Started with # Getting Started with Classification
In this section of the curriculum, you will be introduced to ... In this section of the curriculum you will learn about how to classify data using Machine Learning.
## Topics ## Topics
1. [Introduction to](1-intro-to/README.md) 1. [Visualize your Data and Prepare it for Use](1-Data/README.md)
2. [Build a Discriminative Model](2-Discriminative/README.md)
3. [Build a Generative Model](3-Generative/README.md)
4. [Applied ML: Build a Web App](4-Applied/README.md)
## Credits ## Credits
"Introduction to" was written with ♥️ by [Name](Twitter) "Getting Started with Classification" was written with ♥️ by [Cassie Breviu](@cassieview)

@ -60,21 +60,21 @@ By ensuring that the content aligns with projects, the process is made more enga
| Lesson Number | Project Name/Group | Concepts Taught | Learning Objectives | Linked Lesson | Author | | Lesson Number | Project Name/Group | Concepts Taught | Learning Objectives | Linked Lesson | Author |
| :-----------: | :--------------------------------------: | :----------------------------------: | ---------------------------------------------------------------------------------------------------- | :------------------------------------------------: | :-------: | | :-----------: | :--------------------------------------: | :------------------------------------------: | ---------------------------------------------------------------------------------------------------- | :---------------------------------------------------: | :-------: |
| 01 | [Introduction](1-Introduction/README.md) | Introduction to Machine Learning | Learn the basic concepts behind Machine Learning | [lesson](1-Introduction/1-intro-to-ML/README.md) | Amy | | 01 | [Introduction](1-Introduction/README.md) | Introduction to Machine Learning | Learn the basic concepts behind Machine Learning | [lesson](1-Introduction/1-intro-to-ML/README.md) | Amy |
| 02 | [Introduction](1-Introduction/README.md) | The History of Machine Learning | Learn the history underlying this field | [lesson](1-Introduction/2-history-of-ML/README.md) | Amy | | 02 | [Introduction](1-Introduction/README.md) | The History of Machine Learning | Learn the history underlying this field | [lesson](1-Introduction/2-history-of-ML/README.md) | Amy |
| 03 | Introduction to Regression | [Regression](2-Regression/README.md) | Get started with Python and Scikit-Learn for Regression models | [lesson](2-Regression/1-Tools/README.md) | Jen | | 03 | Introduction to Regression | [Regression](2-Regression/README.md) | Get started with Python and Scikit-Learn for Regression models | [lesson](2-Regression/1-Tools/README.md) | Jen |
| 04 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Visualize and clean data in preparation for ML | [lesson](2-Regression/2-Data/README.md) | Jen | | 04 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Visualize and clean data in preparation for ML | [lesson](2-Regression/2-Data/README.md) | Jen |
| 05 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Build Linear and Polynomial Regression models | [lesson](2-Regression/3-Linear/README.md) | Jen | | 05 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Build Linear and Polynomial Regression models | [lesson](2-Regression/3-Linear/README.md) | Jen |
| 06 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Build a Logistic Regression model | [lesson](2-Regression/4-Logistic/README.md) | Jen | | 06 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Build a Logistic Regression model | [lesson](2-Regression/4-Logistic/README.md) | Jen |
| 07 | Introduction to Clustering | [Clustering]() | tbd | [lesson]() | Cassie | | 07 | Introduction to Classification | [Classification](3-Classification/README.md) | Clean, Prep, and Visualize your Data; Introduction to Classification | [lesson](3-Classification/1-Data/README.md) | Cassie |
| 08 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | | 08 | Delicious Asian Recipes 🍜 | [Classification](3-Classification/README.md) | Build a Discriminative Model | [lesson](3-Classification/2-Descriminative/README.md) | Cassie |
| 09 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | | 09 | Delicious Asian Recipes 🍜 | [Classification](3-Classification/README.md) | Build a Generative Model | [lesson](3-Classification/3-Generative/README.md) | Cassie |
| 10 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | | 10 | Delicious Asian Recipes 🍜 | [Classification](3-Classification/README.md) | Build a Web App using your Model | [lesson](3-Classification/4-Applied/README.md) | Cassie |
| 11 | Introduction to Classification | [Classification]() | | [lesson]() | Paige | | 11 | Introduction to Clustering | [Clustering](4-Clustering/README.md) | | [lesson]() | Paige |
| 12 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | | 12 | Interesting Maya Architecture 🦜 | [Clustering]() | | [lesson]() | Paige |
| 13 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | | 13 | Interesting Maya Architecture 🦜 | [Clustering]() | | [lesson]() | Paige |
| 14 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | | 14 | Interesting Maya Architecture 🦜 | [Clustering]() | | [lesson]() | Paige |
| 15 | Introduction to NLP | [Natural Language Processing]() | tbd | [lesson]() | Stephen | | 15 | Introduction to NLP | [Natural Language Processing]() | tbd | [lesson]() | Stephen |
| 16 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen | | 16 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen |
| 17 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen | | 17 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen |

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