fixing links

README.md

@@ -72,14 +72,14 @@ By ensuring that the content aligns with projects, the process is made more enga
 | Lesson Number |                           Topic                            |                       Section                       | Learning Objectives                                                                                                             |                     Linked Lesson                     |     Author     |
 | :-----------: | :--------------------------------------------------------: | :-------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------- | :---------------------------------------------------: | :------------: |
 |      01       |              Introduction to machine learning              |      [Introduction](1-Introduction/README.md)       | Learn the basic concepts behind machine learning                                                                                |   [lesson](1-Introduction/1-intro-to-ML/README.md)    |    Muhammad    |
-|      02       |              The History of machine learning               |      [Introduction](1-Introduction/README.md)       | Learn the history underlying this field                                                                                         |   [lesson](Introduction/2-history-of-ML/README.md)    |  Jen and Amy   |
+|      02       |              The History of machine learning               |      [Introduction](1-Introduction/README.md)       | Learn the history underlying this field                                                                                         |   [lesson](1-Introduction/2-history-of-ML/README.md)    |  Jen and Amy   |
 |      03       |               Fairness and machine learning                |      [Introduction](1-Introduction/README.md)       | What are the important philosophical issues around fairness that students should consider when building and applying ML models? |     [lesson](1-Introduction/3-fairness/README.md)     |     Tomomi     |
 |      04       |              Techniques for machine learning               |      [Introduction](1-Introduction/README.md)       | What techniques do ML researchers use to build ML models?                                                                       | [lesson](1-Introduction/4-techniques-of-ML/README.md) | Chris and Jen  |
 |      05       |                 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       |
 |      06       |              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       |
 |      07       |              North American pumpkin prices 🎃               |        [Regression](2-Regression/README.md)         | Build linear and polynomial regression models                                                                                   |       [lesson](2-Regression/3-Linear/README.md)       |      Jen       |
 |      08       |              North American pumpkin prices 🎃               |        [Regression](2-Regression/README.md)         | Build a logistic regression model                                                                                               |      [lesson](2-Regression/4-Logistic/README.md)      |      Jen       |
-|      09       |                        A Web App 🔌                         |           [Web App](3-Web-App/README.md)            | Build a web app to use your trained model                                                                                       |             [lesson](3-Web-App/README.md)             |      Jen       |
+|      09       |                        A Web App 🔌                         |           [Web App](3-Web-App/README.md)            | Build a web app to use your trained model                                                                                       |             [lesson](3-Web-App/1-Web-App/README.md)             |      Jen       |
 |      10       |               Introduction to classification               |    [Classification](4-Classification/README.md)     | Clean, prep, and visualize your data; introduction to classification                                                            |  [lesson](4-Classification/1-Introduction/README.md)  | Jen and Cassie |
 |      11       |           Delicious Asian and Indian cuisines 🍜            |    [Classification](4-Classification/README.md)     | Introduction to classifiers                                                                                                     | [lesson](4-Classification/2-Classifiers-1/README.md)  | Jen and Cassie |
 |      12       |           Delicious Asian and Indian cuisines 🍜            |    [Classification](4-Classification/README.md)     | More classifiers                                                                                                                | [lesson](4-Classification/3-Classifiers-2/README.md)  | Jen and Cassie |