diff --git a/ProgrammingAssignment_1/ProgrammingAssignment1.ipynb b/ProgrammingAssignment_1/ProgrammingAssignment1.ipynb
index bb66aac852c3c3513fb12f3d4f7f5bab028b22b5..78a6586823c71583abd0ad20c27b26e4728895a8 100644
--- a/ProgrammingAssignment_1/ProgrammingAssignment1.ipynb
+++ b/ProgrammingAssignment_1/ProgrammingAssignment1.ipynb
@@ -138,7 +138,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## TASK 2: Implement $k$-NN Class Methods"
+    "## TASK 2: Implement *k*-NN Class Methods"
    ]
   },
   {
@@ -423,7 +423,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "ROC curves are a good way to visualize sensitivity vs. 1-specificity for varying cut off points. Now, implement, in *model.ipynb*, a \"ROC\" function. \"ROC\" takes a list containing different threshold values to try and returns two arrays; one where each entry is the sensitivity at a given threshold and the other where entries are 1-specificities."
+    "ROC curves are a good way to visualize sensitivity vs. 1-specificity for varying cut off points. Now, implement, in **model.ipynb**, a \"ROC\" function. \"ROC\" takes a list containing different threshold values to try and returns two arrays; one where each entry is the sensitivity at a given threshold and the other where entries are 1-specificities."
    ]
   },
   {