edits for clustering

README.md

@@ -60,7 +60,7 @@ By ensuring that the content aligns with projects, the process is made more enga
 
 
 | Lesson Number |            Project Name/Group            |               Concepts Taught                | Learning Objectives                                                                                       |                     Linked Lesson                     |  Author   |
-| :-----------: | :--------------------------------------: | :------------------------------------------: | ---------------------------------------------------------------------------------------------------------- | :---------------------------------------------------: | :-------: |
+| :-----------: | :--------------------------------------: | :------------------------------------------: | --------------------------------------------------------------------------------------------------------- | :---------------------------------------------------: | :-------: |
 |      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 applying ML models? |      [lesson](1-Introduction/3-Ethics/README.md)      |  Tomomi   |
@@ -72,7 +72,7 @@ By ensuring that the content aligns with projects, the process is made more enga
 |      09       |        Delicious Asian Recipes 🍜         | [Classification](3-Classification/README.md) | Build a Discriminative Model                                                                              | [lesson](3-Classification/2-Descriminative/README.md) |  Cassie   |
 |      10       |        Delicious Asian Recipes 🍜         | [Classification](3-Classification/README.md) | Build a Generative Model                                                                                  |   [lesson](3-Classification/3-Generative/README.md)   |  Cassie   |
 |      11       |        Delicious Asian Recipes 🍜         | [Classification](3-Classification/README.md) | Build a Web App using your Model                                                                          |    [lesson](3-Classification/4-Applied/README.md)     |  Cassie   |
-|      12       |        Introduction to Clustering        |     [Clustering](4-Clustering/README.md)     | Clean, Prep, and Visualize your Data; Introduction to Clustering                                           |     [lesson](4-Clustering/1-Visualize/README.md)      |   Paige   |
+|      12       |        Introduction to Clustering        |     [Clustering](4-Clustering/README.md)     | Clean, Prep, and Visualize your Data; Introduction to Clustering                                          |     [lesson](4-Clustering/1-Visualize/README.md)      |           |
 |      13       |     Interesting Maya Architecture 🦜      |     [Clustering](4-Clustering/README.md)     | Explore the K-Means Clustering Method                                                                     |      [lesson](4-Clustering/2-K-Means/README.md)       |           |
 |      14       |     Interesting Maya Architecture 🦜      |     [Clustering](4-Clustering/README.md)     | Explore Centroid models for Clustering                                                                    |      [lesson](4-Clustering/3-Centroid/README.md)      |           |
 |      15       |     Interesting Maya Architecture 🦜      |     [Clustering](4-Clustering/README.md)     | Build an API for Clustering Recommendation tasks                                                          |        [lesson](4-Clustering/4-API/README.md)         |           |