diff --git a/scripts/Confusion_Matrix/README.md b/scripts/Confusion_Matrix/README.md
index 69bdc2a..30c0c4f 100644
--- a/scripts/Confusion_Matrix/README.md
+++ b/scripts/Confusion_Matrix/README.md
@@ -1,24 +1,25 @@
-# CODE BY ZeroToMastery TensorFlow course.
-# The function makes a labelled confusion matrix comparing predictions and ground truth labels.
+The function makes a labelled confusion matrix comparing predictions and ground truth labels.
   
-# If classes is passed, confusion matrix will be labelled, if not, integer class values
-# will be used.
+If classes is passed, confusion matrix will be labelled, if not, integer class values will be used.
 
-## Args:
+Args:
 
-`y_true`: Array of truth labels (must be same shape as y_pred).
-`y_pred`: Array of predicted labels (must be same shape as y_true).
-`classes`: Array of class labels (e.g. string form). If `None`, integer labels are used.
-`figsize`: Size of output figure (default=(10, 10)).
-`text_size`: Size of output figure text (default=15).
-`norm`: normalize values or not (default=False).
-`savefig`: save confusion matrix to file (default=False).
+* `y_true`: Array of truth labels (must be same shape as y_pred).
+* `y_pred`: Array of predicted labels (must be same shape as y_true).
+* `classes`: Array of class labels (e.g. string form). If `None`, integer labels are used.
+* `figsize`: Size of output figure (default=(10, 10)).
+* `text_size`: Size of output figure text (default=15).
+* `norm`: normalize values or not (default=False).
+* `savefig`: save confusion matrix to file (default=False).
+
+Returns: A labelled confusion matrix plot comparing y_true and y_pred.
 
-## Returns: A labelled confusion matrix plot comparing y_true and y_pred.
 ### Example usage:
 
-"""make_confusion_matrix(y_true=test_labels, # ground truth test labels
+> """make_confusion_matrix(y_true=test_labels, # ground truth test labels
                         y_pred=y_preds, # predicted labels
                         classes=class_names, # array of class label names
                         figsize=(15, 15),
-                        text_size=10)"""
\ No newline at end of file
+                        text_size=10)"""
+
+#### CODE BY ZeroToMastery TensorFlow course.