diff --git a/lab_guides/Lab_5.md b/lab_guides/Lab_5.md
index 2fc30f0..708787f 100644
--- a/lab_guides/Lab_5.md
+++ b/lab_guides/Lab_5.md
@@ -1578,14 +1578,10 @@ X_scaled[:,1].min(), X_scaled[:,1].max()
 
 You should get the following output:
 
-![Caption: Minimum and maximum values of the z-score-standardized
-data ](./images/B15019_05_49.jpg)
+![](./images/B15019_05_49.jpg)
 
 Caption: Minimum and maximum values of the z-score-standardized data
 
-The value ranges for both axes are much lower now and we can see that
-their maximum values are around 9 and 18, which indicates that there are
-some extreme outliers in the data.
 
 Now, to fit a k-means model and plot a scatter plot on the
 z-score-standardized data with the following code snippet:
diff --git a/lab_overview.md b/lab_overview.md
index e070935..ad7a938 100644
--- a/lab_overview.md
+++ b/lab_overview.md
@@ -1,6 +1,6 @@
 <img align="right" src="./logo.png">
 
-<h2><span style="color:red;"></span>Data Science</h2>
+<h2><span style="color:red;">Machine Learning Essentials with Python</span></h2>
 
 ### Description