This Questions is related to Data Mining course.

1. Explain the overfitting problem in the machine learning process and how would you minimize it in your analysis.
2. Explain the underfitting problem in the machine learning process and how would you minimize it in your analysis.
3. Describe in detail the steps involved in data mining. Provide a diagram(s) to illustrate your point.
4. Discuss in detail the difference between supervised learning and unsupervised learning.
5. Using real-life examples, explain classification, regression, clustering, and association analysis.

6. List two reasons why data mining is popular now and it wasnt as popular 20 years ago. [15 points]