diff --git a/4-Classification/1-Introduction/README.md b/4-Classification/1-Introduction/README.md
index 8e075f0e0..4a3373767 100644
--- a/4-Classification/1-Introduction/README.md
+++ b/4-Classification/1-Introduction/README.md
@@ -163,7 +163,7 @@ Now you can dig deeper into the data and learn what are the typical ingredients
     def create_ingredient_df(df):
         ingredient_df = df.T.drop(['cuisine','Unnamed: 0']).sum(axis=1).to_frame('value')
         ingredient_df = ingredient_df[(ingredient_df.T != 0).any()]
-        ingredient_df = ingredient_df.sort_values(by='value', ascending=False
+        ingredient_df = ingredient_df.sort_values(by='value', ascending=False,
         inplace=False)
         return ingredient_df
     ```
diff --git a/4-Classification/2-Classifiers-1/README.md b/4-Classification/2-Classifiers-1/README.md
index c5588f1be..c6b35219f 100644
--- a/4-Classification/2-Classifiers-1/README.md
+++ b/4-Classification/2-Classifiers-1/README.md
@@ -67,13 +67,13 @@ Assuming you completed [Lesson 1](../1-Introduction/README.md), make sure that a
 
     Your features look like this:
 
-| almond | angelica | anise | anise_seed | apple | apple_brandy | apricot | armagnac | artemisia | artichoke |  ... | whiskey | white_bread | white_wine | whole_grain_wheat_flour | wine | wood |  yam | yeast | yogurt | zucchini |
-| -----: | -------: | ----: | ---------: | ----: | -----------: | ------: | -------: | --------: | --------: | ---: | ------: | ----------: | ---------: | ----------------------: | ---: | ---: | ---: | ----: | -----: | -------: | 
-|      0 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   |
-|      1 |        1 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   |
-|      2 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   |
-|      3 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   |
-|      4 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        1 | 0   |
+| | almond | angelica | anise | anise_seed | apple | apple_brandy | apricot | armagnac | artemisia | artichoke |  ... | whiskey | white_bread | white_wine | whole_grain_wheat_flour | wine | wood |  yam | yeast | yogurt | zucchini |
+| -----: | -------: | ----: | ---------: | ----: | -----------: | ------: | -------: | --------: | --------: | ---: | ------: | ----------: | ---------: | ----------------------: | ---: | ---: | ---: | ----: | -----: | -------: | -----: |
+|      0 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   | 0 |
+|      1 |        1 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   | 0 |
+|      2 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   | 0 |
+|      3 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        0 | 0   | 0 |
+|      4 |        0 |     0 |          0 |     0 |            0 |       0 |        0 |         0 |         0 |    0 |     ... |           0 |          0 |                       0 |    0 |    0 |    0 |     0 |      0 |        1 | 0   | 0 |
 
 Now you are ready to train your model!