Update mlpaths.md

Author: clizarraga-UAD7

docs/mlpaths.md

@@ -26,24 +26,29 @@ timeline
 
 #### Introduction to Data Science and Machine Learning
 
-??? note "Content"
-    - **Learning Objective**: Understand the fundamental concepts of data science and machine learning, and their real-world applications.
-
-    - **Related Skills**:
-      1. Defining and framing data science problems
-      2. Identifying appropriate machine learning techniques for different tasks
-      3. Distinguishing between supervised and unsupervised learning
-    - **Subtopics**:
-      1. Definition and scope of data science
-      2. Overview of machine learning algorithms (regression, classification, clustering)
-      3. Applications of data science in various industries (e.g., healthcare, finance, marketing)
-      4. Ethical considerations in data science
-      5. Hands-on introduction to machine learning using Python and scikit-learn
-
-    - **References and Resources**:
-      - "An Introduction to Statistical Learning" by Gareth James et al.
-      - "Machine Learning for Absolute Beginners" by Oliver Theobald
-      - Kaggle Learn courses on data science and machine learning fundamentals
+??? note "Content description"
+
+**Learning Objective**: Understand the fundamental concepts of data science and machine learning, and their real-world applications.
+
+**Related Skills**:
+
+- Defining and framing data science problems
+- Identifying appropriate machine learning techniques for different tasks
+- Distinguishing between supervised and unsupervised learning
+
+**Subtopics**:
+
+- Definition and scope of data science
+- Overview of machine learning algorithms (regression, classification, clustering)
+- Applications of data science in various industries (e.g., healthcare, finance, marketing)
+- Ethical considerations in data science
+- Hands-on introduction to machine learning using Python and scikit-learn
+
+**References and Resources**:
+
+- "An Introduction to Statistical Learning" by Gareth James et al.
+- "Machine Learning for Absolute Beginners" by Oliver Theobald
+- Kaggle Learn courses on data science and machine learning fundamentals
 
 
 ####  Python for Data Science