1: In your own words, explain what the ultimate goal of the data mining process is and how it differs from your statistics course.

2: During the data mining process, do you partition the dataset? What is the objective? Fully explain, it will help you to provide an example.

3: Provide a business case or a business study and explain when you will do descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics?

4: What is the difference between supervised and unsupervised learning? Provide an example (please do not use the example given in class, the similarity index will pick up any website searches. Show your understanding of these concepts.

5: What is overfitting? When would this happen? Why is it important to be aware of this? Provide an example