@@ -27,25 +27,23 @@ timeline
2727#### Introduction to Data Science and Machine Learning
2828
2929??? note "Content"
30-
31- - ** Learning Objective** : Understand the fundamental concepts of data science and machine learning, and their real-world applications.
32-
33- - ** Related Skills** :
34- 1. Defining and framing data science problems
35- 2. Identifying appropriate machine learning techniques for different tasks
36- 3. Distinguishing between supervised and unsupervised learning
37-
38- - ** Subtopics** :
39- 1. Definition and scope of data science
40- 2. Overview of machine learning algorithms (regression, classification, clustering)
41- 3. Applications of data science in various industries (e.g., healthcare, finance, marketing)
42- 4. Ethical considerations in data science
43- 5. Hands-on introduction to machine learning using Python and scikit-learn
44-
45- - ** References and Resources** :
46- - "An Introduction to Statistical Learning" by Gareth James et al.
47- - "Machine Learning for Absolute Beginners" by Oliver Theobald
48- - Kaggle Learn courses on data science and machine learning fundamentals
30+ - ** Learning Objective** : Understand the fundamental concepts of data science and machine learning, and their real-world applications.
31+
32+ - **Related Skills**:
33+ 1. Defining and framing data science problems
34+ 2. Identifying appropriate machine learning techniques for different tasks
35+ 3. Distinguishing between supervised and unsupervised learning
36+ - **Subtopics**:
37+ 1. Definition and scope of data science
38+ 2. Overview of machine learning algorithms (regression, classification, clustering)
39+ 3. Applications of data science in various industries (e.g., healthcare, finance, marketing)
40+ 4. Ethical considerations in data science
41+ 5. Hands-on introduction to machine learning using Python and scikit-learn
42+
43+ - **References and Resources**:
44+ - "An Introduction to Statistical Learning" by Gareth James et al.
45+ - "Machine Learning for Absolute Beginners" by Oliver Theobald
46+ - Kaggle Learn courses on data science and machine learning fundamentals
4947
5048
5149#### Python for Data Science
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