Update README.md

README.md

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 |      01       |           [Introduction](Introduction/README.md)           |         Introduction to Machine Learning          | Learn the basic concepts behind Machine Learning                                                          |   [lesson](Introduction/1-intro-to-ML/README.md)    |    Amy    |
 |      02       |           [Introduction](Introduction/README.md)           |          The History of Machine Learning          | Learn the history underlying this field                                                                   |  [lesson](Introduction/2-history-of-ML/README.md)   |    Amy    |
-|      03       |           [Introduction](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](Introduction/3-Ethics/README.md)      |  Tomomi   |
+|      03       |           [Introduction](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](Introduction/3-ethics/README.md)      |  Tomomi   |
 |      04       |                 Introduction to Regression                 |        [Regression](Regression/README.md)         | Get started with Python and Scikit-Learn for Regression models                                            |       [lesson](Regression/1-Tools/README.md)        |    Jen    |
 |      05       |              North American Pumpkin Prices 🎃               |        [Regression](Regression/README.md)         | Visualize and clean data in preparation for ML                                                            |        [lesson](Regression/2-Data/README.md)        |    Jen    |
 |      06       |              North American Pumpkin Prices 🎃               |        [Regression](Regression/README.md)         | Build Linear and Polynomial Regression models                                                             |       [lesson](Regression/3-Linear/README.md)       |    Jen    |