diff --git a/README.md b/README.md
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@@ -86,9 +86,9 @@ By ensuring that the content aligns with projects, the process is made more enga
 |       07      |               North American pumpkin prices 🎃              |         [Regression](2-Regression/README.md)        | Build linear and polynomial regression models                                                                                   |     <ul><li>[Python](2-Regression/3-Linear/README.md)</li><li>[R](2-Regression/3-Linear/solution/R/lesson_3-R.ipynb)</li></ul>       |       <ul><li>Jen</li><li>Eric Wanjau</li></ul>     |
 |       08      |               North American pumpkin prices 🎃              |         [Regression](2-Regression/README.md)        | Build a logistic regression model                                                                                               |     <ul><li>[Python](2-Regression/4-Logistic/README.md)  </li><li>[R](2-Regression/4-Logistic/solution/R/lesson_4-R.ipynb)</li></ul>     |       <ul><li>Jen</li><li>Eric Wanjau</li></ul>     |
 |       09      |                         A Web App 🔌                        |            [Web App](3-Web-App/README.md)           | Build a web app to use your trained model                                                                                       |        [Python](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                                                            |  [Python](4-Classification/1-Introduction/README.md)  | Jen and Cassie |
-|       11      |            Delicious Asian and Indian cuisines 🍜           |     [Classification](4-Classification/README.md)    | Introduction to classifiers                                                                                                     |  [Python](4-Classification/2-Classifiers-1/README.md)  | Jen and Cassie |
-|       12      |            Delicious Asian and Indian cuisines 🍜           |     [Classification](4-Classification/README.md)    | More classifiers                                                                                                                |  [Python](4-Classification/3-Classifiers-2/README.md)  | Jen and Cassie |
+|       10     |               Introduction to classification               |     [Classification](4-Classification/README.md)    | Clean, prep, and visualize your data; introduction to classification                                                            |<ul><li>  [Python](4-Classification/1-Introduction/README.md) </li><li>[R](4-Classification/1-Introduction/solution/R/lesson_10-R.ipynb)  | <ul><li>Jen and Cassie</li><li>Eric Wanjau</li></ul> |
+|       11      |            Delicious Asian and Indian cuisines 🍜           |     [Classification](4-Classification/README.md)    | Introduction to classifiers                                                                                                     |<ul><li> [Python](4-Classification/2-Classifiers-1/README.md)</li><li>[R](4-Classification/2-Classifiers-1/solution/R/lesson_11-R.ipynb) | <ul><li>Jen and Cassie</li><li>Eric Wanjau</li></ul> |
+|       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                                                                |      [Python](5-Clustering/1-Visualize/README.md)     |       Jen      |
 |       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      |