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| 10 | Delicious Asian Recipes 🍜 | [Classification](Classification/README.md) | Build a Discriminative Model | [lesson](Classification/2-Descriminative/README.md) | Cassie |
| 11 | Delicious Asian Recipes 🍜 | [Classification](Classification/README.md) | Build a Generative Model | [lesson](Classification/3-Generative/README.md) | Cassie |
| 12 | Delicious Asian Recipes 🍜 | [Classification](Classification/README.md) | Build a Web App using your Model | [lesson](Classification/4-Applied/README.md) | Cassie |
| 13 | Introduction to Clustering | [Clustering](Clustering/README.md) | Clean, Prep, and Visualize your Data; Introduction to Clustering | [lesson](Clustering/1-Visualize/README.md) | Jen |
| 14 | Exploring Nigerian Musical Tastes 🎧 | [Clustering](Clustering/README.md) | Explore the K-Means Clustering Method | [lesson](Clustering/2-K-Means/README.md) | Jen |
| 15 | Exploring Nigerian Musical Tastes 🎧 | [Clustering](Clustering/README.md) | Explore Centroid models for Clustering | [lesson](Clustering/3-Centroid/README.md) | Jen |
| 16 | Introduction to Natural Language Processing | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen |
| 17 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen |
| 18 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen |
| 19 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen |
| 20 | Introduction to Time Series Forecasting | [Time Series](TimeSeries/README.md) | Introduction to Time Series Forecasting | [lesson](TimeSeries/1-Introduction/README.md) | Francesca |
| 21 | ⚡️ World Power Usage ⚡️ Time Series Forecasting with ARIMA ⚡️ | [Time Series](TimeSeries/README.md) | Time Series Forecasting with ARIMA | [lesson](TimeSeries/2-ARIMA/README.md) | Francesca |
| 13 | Introduction to Clustering | [Clustering](Clustering/README.md) | Clean, Prep, and Visualize your Data; Introduction to Clustering | [lesson](Clustering/1-Visualize/README.md) | Jen |
| 14 | Exploring Nigerian Musical Tastes 🎧 | [Clustering](Clustering/README.md) | Explore the K-Means Clustering Method | [lesson](Clustering/2-K-Means/README.md) | Jen |
| 15 | Exploring Nigerian Musical Tastes 🎧 | [Clustering](Clustering/README.md) | Explore Centroid models for Clustering | [lesson](Clustering/3-Centroid/README.md) | Jen |
| 16 | Introduction to Natural Language Processing | [Natural Language Processing](NLP/README.md) | Learn the basics about NLP by building a simple bot | [lesson](NLP/1-Introduction-to-NLP/README.md) | Stephen |
| 17 | Common NLP Tasks | [Natural Language Processing](NLP/README.md) | Deepen your NLP knowledge by understanding common tasks required when dealing with language structures | [lesson](NLP/2-NLP-Tasks/README.md) | Stephen |
| 18 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | Sentiment analysis with hotel reviews | [lesson]() | Stephen |
| 19 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | Sentiment analysis, continued | [lesson]() | Stephen |
| 20 | Introduction to Time Series Forecasting | [Time Series](TimeSeries/README.md) | Introduction to Time Series Forecasting | [lesson](TimeSeries/1-Introduction/README.md) | Francesca |
| 21 | ⚡️ World Power Usage ⚡️ Time Series Forecasting with ARIMA ⚡️ | [Time Series](TimeSeries/README.md) | Time Series Forecasting with ARIMA | [lesson](TimeSeries/2-ARIMA/README.md) | Francesca |
| 22 | Introduction to Reinforcement Learning | [Reinforcement Learning](Reinforcement/README.md) | tbd | [lesson]() | Dmitry |
| 23 | Help Peter avoid the Wolf! 🐺 | [Reinforcement Learning](Reinforcement/README.md) | tbd | [lesson]() | Dmitry |
| 24 | Real-World ML Scenarios and Applications | ML in the Wild | Interesting and Revealing real-world applications of classical ML | [lesson](Real-World/1-Applications/README.md) | Ornella |
| 24 | Real-World ML Scenarios and Applications | ML in the Wild | Interesting and Revealing real-world applications of classical ML | [lesson](Real-World/1-Applications/README.md) | Ornella |
## Offline access
You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.

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