diff --git a/machine_learning/linear_discriminant_analysis.py b/machine_learning/linear_discriminant_analysis.py
index de2d1de46ba1..e4c7e88e5654 100644
--- a/machine_learning/linear_discriminant_analysis.py
+++ b/machine_learning/linear_discriminant_analysis.py
@@ -311,7 +311,7 @@ def main():
 
         print("-" * 100)
 
-        # Trying to get number of instances in classes and theirs means to generate
+        # Trying to get number of instances in classes and their means to generate
         # dataset
         counts = []  # An empty list to store instance counts of classes in dataset
         for i in range(n_classes):
@@ -336,12 +336,12 @@ def main():
         print("-" * 100)
 
         print("Standard deviation: ", std_dev)
-        # print out the number of instances in classes in separated line
+        # Print the number of instances in each class on separate lines.
         for i, count in enumerate(counts, 1):
             print(f"Number of instances in class_{i} is: {count}")
         print("-" * 100)
 
-        # print out mean values of classes separated line
+        # Print the mean value for each class on separate lines.
         for i, user_mean in enumerate(user_means, 1):
             print(f"Mean of class_{i} is: {user_mean}")
         print("-" * 100)
@@ -361,8 +361,7 @@ def main():
 
         # Calculating the value of actual mean for each class
         actual_means = [calculate_mean(counts[k], x[k]) for k in range(n_classes)]
-        # for loop iterates over number of elements in 'actual_means' list and print
-        # out them in separated line
+        # Iterate over 'actual_means' and print each value on a separate line.
         for i, actual_mean in enumerate(actual_means, 1):
             print(f"Actual(Real) mean of class_{i} is: {actual_mean}")
         print("-" * 100)
@@ -372,8 +371,7 @@ def main():
             calculate_probabilities(counts[i], sum(counts)) for i in range(n_classes)
         ]
 
-        # for loop iterates over number of elements in 'probabilities' list and print
-        # out them in separated line
+        # Iterate over 'probabilities' and print each value on a separate line.
         for i, probability in enumerate(probabilities, 1):
             print(f"Probability of class_{i} is: {probability}")
         print("-" * 100)