| 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 |
| 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 |
| 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 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 🍜 | [Classification](3-Classification/README.md) | Build a Discriminative Model | [lesson](3-Classification/2-Descriminative/README.md) | 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 🍜 | [Classification](3-Classification/README.md) | Build a Web App using your Model | [lesson](3-Classification/4-Applied/README.md) | Cassie |
| 11 | Introduction to Clustering | [Clustering](4-Clustering/README.md) | Clean, Prep, and Visualize your Data; Introduction to Clustering | [lesson](4-Clustering/1-Visualize/README.md) | Paige |
| 12 | Interesting Maya Architecture 🦜 | [Clustering](4-Clustering/README.md) | Algorithms to use for Clustering tasks | [lesson](4-Clustering/2-Algorithms/README.md) | Paige |
| 14 | Interesting Maya Architecture 🦜 | [Clustering](4-Clustering/README.md) | Build a Centroid model for Clustering tasks | [lesson](4-Clustering/Centroid/README.md) | Paige |
| 15 | Introduction to NLP | [Natural Language Processing]() | tbd | [lesson]() | Stephen |
| 16 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen |
| 03 | Introduction | The Ethics of Machine Learning | What are the important ethical issues apparent now and how will they impact the field going forward? | [lesson](8-Real-World/1-Ethics/README.md) | Tomomi |
| 04 | 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 |
| 05 | 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 |
| 06 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Build Linear and Polynomial Regression models | [lesson](2-Regression/3-Linear/README.md) | Jen |
| 07 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Build a Logistic Regression model | [lesson](2-Regression/4-Logistic/README.md) | Jen |
| 08 | 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 |
| 09 | Delicious Asian Recipes 🍜 | [Classification](3-Classification/README.md) | Build a Discriminative Model | [lesson](3-Classification/2-Descriminative/README.md) | Cassie |
| 10 | Delicious Asian Recipes 🍜 | [Classification](3-Classification/README.md) | Build a Generative Model | [lesson](3-Classification/3-Generative/README.md) | Cassie |
| 11 | Delicious Asian Recipes 🍜 | [Classification](3-Classification/README.md) | Build a Web App using your Model | [lesson](3-Classification/4-Applied/README.md) | Cassie |
| 12 | Introduction to Clustering | [Clustering](4-Clustering/README.md) | Clean, Prep, and Visualize your Data; Introduction to Clustering | [lesson](4-Clustering/1-Visualize/README.md) | Paige |
| 13 | Interesting Maya Architecture 🦜 | [Clustering](4-Clustering/README.md) | Algorithms to use for Clustering tasks | [lesson](4-Clustering/2-Algorithms/README.md) | Paige |
| 22 | Help Peter avoid the Wolf! 🐺 | [Reinforcement Learning]() | tbd | [lesson]() | Dmitry |
| 23 | Real-World ML Scenarios and Applications | The Ethics of Machine Learning | What are the important ethical issues apparent now and how will they impact the field going forward? | [lesson](8-Real-World/1-Ethics/README.md) | Tomomi |
| 24 | Real-World ML Scenarios and Applications | The Future of Machine Learning | Interesting and Revealing real-world applications of ML | [lesson](8-Real-World/2-Applications/README.md) | All |
| 19 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen |
| 20 | Introduction to Time Series Forecasting | [Time Series]() | tbd | [lesson]() | Francesca |
| 21 | Power Usage in India ⚡️ | [Time Series]() | tbd | [lesson]() | Francesca |
| 23 | Help Peter avoid the Wolf! 🐺 | [Reinforcement Learning]() | tbd | [lesson]() | Dmitry |
| 24 | Real-World ML Scenarios and Applications | The Future of Machine Learning | Interesting and Revealing real-world applications of ML | [lesson](8-Real-World/2-Applications/README.md) | All |
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