diff --git a/README.md b/README.md index 2dc8f122..2e363989 100644 --- a/README.md +++ b/README.md @@ -63,28 +63,28 @@ By ensuring that the content aligns with projects, the process is made more enga | :-----------: | :--------------------------------------: | :----------------------------------: | ---------------------------------------------------------------------------------------------------- | :------------------------------------------------: | :-------: | | 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 | -| 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 | -| 05 | North American Pumpkin Prices 🎃 | [Regression](2-Regression/README.md) | Build a Linear Regression model | [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 | -| 07 | Introduction to Clustering | [Clustering]() | tbd | [lesson]() | Cassie | -| 08 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | -| 09 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | -| 10 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | -| 11 | Introduction to Classification | [Classification]() | | [lesson]() | Paige | -| 12 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | -| 13 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | -| 14 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | -| 15 | Introduction to NLP | [Natural Language Processing]() | tbd | [lesson]() | Stephen | -| 16 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen | +| 07 | Introduction to Clustering | [Clustering]() | tbd | [lesson]() | Cassie | +| 08 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | +| 09 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | +| 10 | Delicious Asian Recipes 🍜 | [Clustering]() | tbd | [lesson]() | Cassie | +| 11 | Introduction to Classification | [Classification]() | | [lesson]() | Paige | +| 12 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | +| 13 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | +| 14 | Interesting Maya Architecture 🦜 | [Classification]() | | [lesson]() | Paige | +| 15 | Introduction to NLP | [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 | | 18 | Romantic Hotels of Europe ♥️ | [Natural Language Processing]() | tbd | [lesson]() | Stephen | -| 19 | Introduction to Time Series Forecasting | [Time Series]() | tbd | [lesson]() | Francesca | +| 19 | Introduction to Time Series Forecasting | [Time Series]() | tbd | [lesson]() | Francesca | | 20 | Power Usage in India ⚡️ | [Time Series]() | tbd | [lesson]() | Francesca | -| 21 | Introduction to Reinforcement Learning | [Reinforcement Learning]() | tbd | [lesson]() | Dmitry | -| 22 | A fancy French mousetrap 🍫 | [Reinforcement Learning]() | tbd | [lesson]() | Dmitry | +| 21 | Introduction to Reinforcement Learning | [Reinforcement Learning]() | tbd | [lesson]() | Dmitry | +| 22 | A fancy French mousetrap 🍫 | [Reinforcement Learning]() | tbd | [lesson]() | Dmitry | | 23 | Future | The Ethics of Machine Learning | What are the important ethical issues apparent now and how will they impact the field going forward? | [lesson](8-Future/Ethics/README.md) | Tomomi | -| 24 | Future | The Future of Machine Learning | What are the important trends that will shape the future of ML? | [lesson](8-Future/Future-Trends/README.md) | All | +| 24 | Future | The Future of Machine Learning | What are the important trends that will shape the future of ML? | [lesson](8-Future/Future-Trends/README.md) | All | ## 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`.