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Jen Looper 3 years ago
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NLP/2-NLP-Tasks/README.md → NLP/2-Tasks/README.md
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@ -8,9 +8,10 @@ In this section of the curriculum, you will be introduced to one of the most wid
## Lessons ## Lessons
1. [Introduction to Natural Language Processing](1-Introduction-to-NLP/README.md) 1. [Introduction to Natural Language Processing](1-Introduction-to-NLP/README.md)
2. [Common NLP Tasks](2-NLP-Tasks/README.md) 2. [Common NLP Tasks](2-Tasks/README.md)
3. [Translation with NLP](3-Translationn/README.md) 3. [Translation with NLP](3-Translations/README.md)
4. TBD 4. TBD
5. TBD
## Credits ## Credits

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README.md
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@ -16,7 +16,7 @@ Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson cur
Travel with us around the world as we apply these classic techniques to data from many areas of the world. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. Travel with us around the world as we apply these classic techniques to data from many areas of the world. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
**Hearty thanks to our authors (list all authors here)** **Hearty thanks to our authors (list all authors here)** Jen Looper, Stephen Howell, Francesca Lazzeri
**🙏Special thanks🙏 to our Microsoft Student Ambassador reviewers and content contributors**, notably Rishit Dagli, Rohan Raj, Muhammad Sakib Khan Inan, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, and Snigdha Agarwal **🙏Special thanks🙏 to our Microsoft Student Ambassador reviewers and content contributors**, notably Rishit Dagli, Rohan Raj, Muhammad Sakib Khan Inan, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, and Snigdha Agarwal
@ -78,10 +78,10 @@ By ensuring that the content aligns with projects, the process is made more enga
| 12 | Delicious Asian Recipes 🍜 | [Classification](Classification/README.md) | Build a Web App using your Model | [lesson](Classification/4-Applied/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 | | 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 | | 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 | | 15 | 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 |
| 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 | | 16 | 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-Tasks/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 | | 17 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | Translation and Sentiment analysis with Jane Austen | [lesson](NLP/3-Translation/README.md) | Stephen |
| 18 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | Sentiment analysis with hotel reviews | [lesson]() | Stephen | | 18 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | Sentiment analysis, continued | [lesson]() | Stephen |
| 19 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | Sentiment analysis, continued | [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 | | 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 | | 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 |

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