Update A1_Intro_to_DataScience_and_ML.md

Author: clizarraga-UAD7

docs/mlpaths/A1_Intro_to_DataScience_and_ML.md

@@ -182,6 +182,7 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     d)  The development of software that can reason and solve complex problems like humans.<br>
     *(Answer: (1) :eyes:)*
     { .annotate }
+    <span class="annotate">(1)</span><ol><li>when possible</li></ol>
 
 2. Consider the following Python code using Pandas:
     ```python
@@ -198,39 +199,44 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
     d)  6<br>
     *(Answer: (2) :eyes:)*
     { .annotate }
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+    <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>
     c)  Pandas<br>
     d)  Scikit-learn<br>
     *(Answer: (1) :eyes:)*
     { .annotate }
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+    <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>
     c)  It's a numerical value the model tries to estimate.<br>
     d)  It's a technique for reducing the number of features.<br>
     *(Answer: (1) :eyes:)*
     { .annotate }
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+    <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>
     c)  To divide a dataset into one part for training the model and another, unseen part for evaluating its performance.<br>
     d)  To visualize the distribution of data.<br>
     *(Answer: (2) :eyes:)*
     { .annotate }    
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+    <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 }    
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+    <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>
     b)  `sales_df.display_head(10)`<br>
@@ -264,7 +270,6 @@ This quiz helps you self-assess your understanding. Answers can be verified by r
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 </div>
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 1. Answer is: <b>b</b>
 2. Answer is: <b>c</b>