Update README.md

README.md

@@ -91,7 +91,7 @@ By ensuring that the content aligns with projects, the process is made more enga
 |       12      |            Delicious Asian and Indian cuisines 🍜           |     [Classification](4-Classification/README.md)    | More classifiers                                                                                                                |<ul><li>  [Python](4-Classification/3-Classifiers-2/README.md)</li><li>[R](4-Classification/3-Classifiers-2/solution/R/lesson_12-R.ipynb)  | <ul><li>Jen and Cassie</li><li>Eric Wanjau</li></ul> |
 |       13      |            Delicious Asian and Indian cuisines 🍜           |     [Classification](4-Classification/README.md)    | Build a recommender web app using your model                                                                                    |     [Python](4-Classification/4-Applied/README.md)     |       Jen      |
 |       14      |                 Introduction to clustering                 |         [Clustering](5-Clustering/README.md)        | Clean, prep, and visualize your data; Introduction to clustering                                                                |     <ul><li> [Python](5-Clustering/1-Visualize/README.md)</li><li>[R](5-Clustering/1-Visualize/solution/R/lesson_14-R.ipynb)    |       <ul><li>Jen</li><li>Eric Wanjau</li></ul>    |
-|       15      |             Exploring Nigerian Musical Tastes 🎧            |         [Clustering](5-Clustering/README.md)        | Explore the K-Means clustering method                                                                                           |       [Python](5-Clustering/2-K-Means/README.md)       |       Jen      |
+|       15      |             Exploring Nigerian Musical Tastes 🎧            |         [Clustering](5-Clustering/README.md)        | Explore the K-Means clustering method                                                                                           |      <ul><li> [Python](5-Clustering/2-K-Means/README.md)</li><li>[R](5-Clustering/2-K-Means/solution/R/lesson_15-R.ipynb)       |       <ul><li>Jen</li><li>Eric Wanjau</li></ul>      |
 |       16      |        Introduction to natural language processing ☕️       |    [Natural language processing](6-NLP/README.md)   | Learn the basics about NLP by building a simple bot                                                                             |    [Python](6-NLP/1-Introduction-to-NLP/README.md)  |     Stephen    |
 |       17      |                     Common NLP Tasks ☕️                     |    [Natural language processing](6-NLP/README.md)   | Deepen your NLP knowledge by understanding common tasks required when dealing with language structures                          |           [Python](6-NLP/2-Tasks/README.md)     |     Stephen    |
 |       18      |            Translation and sentiment analysis ♥️            |    [Natural language processing](6-NLP/README.md)   | Translation and sentiment analysis with Jane Austen                                                                             |   [Python](6-NLP/3-Translation-Sentiment/README.md) |     Stephen    |