diff --git a/2-Regression/1-Tools/README.md b/2-Regression/1-Tools/README.md
index f996782a..6a276dae 100644
--- a/2-Regression/1-Tools/README.md
+++ b/2-Regression/1-Tools/README.md
@@ -156,7 +156,10 @@ plt.show()
 
 Congratulations, you just built your first Linear Regression model, created a prediction with it, and displayed it in a plot!
 
-🚀 Challenge: Plot a different variable from this dataset. Hint: edit this line: `X = X[:, np.newaxis, 2]`. Given this dataset's target, what are you able to discover about the progression of diabetes as a disease?
+---
+## 🚀Challenge
+
+Plot a different variable from this dataset. Hint: edit this line: `X = X[:, np.newaxis, 2]`. Given this dataset's target, what are you able to discover about the progression of diabetes as a disease?
 ## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/6/)
 
 ## Review & Self Study
diff --git a/2-Regression/2-Data/README.md b/2-Regression/2-Data/README.md
index 02a427c8..df27787c 100644
--- a/2-Regression/2-Data/README.md
+++ b/2-Regression/2-Data/README.md
@@ -137,7 +137,10 @@ plt.ylabel("Pumpkin Price")
 
 This is a more useful data visualization! It seems to indicate that the highest price for pumpkins occurs in September and October. Does that meet your expectation? Why or why not?
 
-🚀 Challenge: Explore the different types of visualization that matplotlib offers. Which types are most appropriate for regression problems?
+---
+## 🚀Challenge
+
+Explore the different types of visualization that matplotlib offers. Which types are most appropriate for regression problems?
 ## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/8/)
 
 ## Review & Self Study
diff --git a/2-Regression/3-Linear/README.md b/2-Regression/3-Linear/README.md
index fa864efb..ae105253 100644
--- a/2-Regression/3-Linear/README.md
+++ b/2-Regression/3-Linear/README.md
@@ -234,7 +234,10 @@ It does make sense! And, if this is a better model than the previous one, lookin
 
 🏆 Well done! You created two Regression models in one lesson. In the final section on Regression, you will learn about Logistic Regression to determine categories. 
 
-🚀 Challenge: Test several different variables in this notebook to see how correlation corresponds to model accuracy.
+---
+## 🚀Challenge
+
+Test several different variables in this notebook to see how correlation corresponds to model accuracy.
 
 ## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/10/)