Update A1_Intro_to_DataScience_and_ML.md

Author: clizarraga-UAD7

docs/mlpaths/A1_Intro_to_DataScience_and_ML.md

@@ -183,8 +183,6 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     *(Answer: (1) :eyes:)*
     { .annotate }
 
-<span class="annotate">(1)</span><ol><li>when possible</li></ol>
-
 2. Consider the following Python code using Pandas:
     ```python
     import pandas as pd
@@ -201,8 +199,6 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     *(Answer: (2) :eyes:)*
     { .annotate }
 
-<span class="annotate">(2)</span><ol><li>when not possible</li></ol>
-    
 3. Which Python library is primarily used for creating statistical visualizations like heatmaps and pair plots with concise syntax?<br>
     a)  NumPy<br>
     b)  Seaborn<br>
@@ -211,8 +207,6 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     *(Answer: (1) :eyes:)*
     { .annotate }
 
-<span class="annotate">(1)</span><ol><li>when possible</li></ol>
-    
 4. In a typical classification problem, what is the role of the 'target variable'?<br>
     a)  It's an input feature used by the model to learn.<br>
     b)  It's the categorical label or class that the model aims to predict.<br>
@@ -221,8 +215,6 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     *(Answer: (1) :eyes:)*
     { .annotate }
 
-<span class="annotate">(1)</span><ol><li>when possible</li></ol>
-    
 5. What is the primary purpose of `train_test_split` in Scikit-learn?<br>
     a)  To combine two different datasets into one.<br>
     b)  To separate features from the target variable within a single dataset.<br>
@@ -231,16 +223,13 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     *(Answer: (2) :eyes:)*
     { .annotate }    
 
-<span class="annotate">(2)</span><ol><li>when not possible</li></ol>
-    
 6. If you want to create a scatter plot in Python to visualize the relationship between 'Height' and 'Weight' columns in a Pandas DataFrame `df`, which line of code is most appropriate using Seaborn?<br>
     a)  `sns.histplot(data=df, x='Height', y='Weight')`<br>
     b)  `sns.boxplot(data=df, x='Height', y='Weight')`<br>
     c)  `sns.scatterplot(data=df, x='Height', y='Weight')`<br>
     d)  `df.plot(kind='scatter', x='Height', y='Weight')` (This is Pandas plotting, not Seaborn directly)<br>
     *(Answer: (2) :eyes:)*
     { .annotate }    
-    <span class="annotate">(2)</span><ol><li>when not possible</li></ol>
 
 7. You have loaded a dataset into a Pandas DataFrame called `sales_df`. How would you display the first 10 rows of this DataFrame?<br>
     a)  `sales_df.show(10)`<br>
@@ -272,7 +261,7 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     c)  Handling missing values and transforming variables.<br>
     d)  Presenting results to stakeholders.<br>
     *(Answer: (2) :eyes:)*
-        { .annotate }    
+    { .annotate }    
 
 </div>
 1. Answer is: <b>b</b>