diff --git a/Questions concerning R language.md b/Questions concerning R language.md
index 5fd7c22..22a1185 100644
--- a/Questions concerning R language.md	
+++ b/Questions concerning R language.md	
@@ -1,4 +1,5 @@
-***Applied***
+***Applied Question***
+
 This problem involves the `OJ` data set which is part of the `ISLR` package.	
 * Create a training set containing a random sample of 800 observations, and a test set containing the remaining observations.	
 * Fit a support vector classifier to the training data using `cost=0.01`, with `Purchase` as the response and the other variables as predictors. Use the `summary()` function to produce summary statistics, and describe the results obtained.
@@ -9,7 +10,8 @@ This problem involves the `OJ` data set which is part of the `ISLR` package.
 * Repeat parts (ii) through (v) using a support vector machine with a polynomial kernel. Set `degree=2`.
 * Overall, which approach seems to give the best results on this data? 
 
-***Conceptual***
+***Conceptual Question***
+
 Here we explore the maximal margin classifier on a toy data set.
 * We are given n = 7 observations in p = 2 dimensions. For each observation, there is an associated class label.
 | Obs. | X1 | X2 | Y |