1. What's an attribute? What's a data instance?

2. What's noise? How can noise be reduced in a dataset?

3. Define outlier. Describe 2 different approaches to detect outliers in a dataset.

4. Describe 3 different techniques to deal with missing values in a dataset. Explain when each of these techniques would be most appropriate.