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README.md

@@ -63,7 +63,7 @@ By ensuring that the content aligns with projects, the process is made more enga
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 |      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](1-Introduction/README.md) |        The Ethics of Machine Learning        | What are the important ethical issues that students should consider when building and applyiing ML models? |      [lesson](1-Introduction/3-Ethics/README.md)      |  Tomomi   |
+|      03       | [Introduction](1-Introduction/README.md) |        The Ethics of Machine Learning        | What are the important ethical issues that students should consider when building and applying ML models? |      [lesson](1-Introduction/3-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    |