UNIT–I

1. Explain Reinforcement Learning with a real-world example.
2. Explain Batch Learning and Online Learning with advantages and disadvantages.
3. Explain the main challenges of Machine Learning in detail.

UNIT–II

4. Explain types of data: nominal, ordinal, interval, and continuous with examples.
5. Calculate the following from the data set 6, 8, 9, 11, 14:
   - Mean
   - Variance
   - Standard Deviation
6. Explain the structure of a box plot with a neat diagram and provide the interpretation.

UNIT–III

7. Explain regression analysis with assumptions and applications.
8. Explain multiple linear regression with example.
9. Discuss the relationship between correlation and regression.