UNIT III

2 MARKS

1. Define: Modelling Process.
2. What is machine learning?
3. What is Unsupervised Learning?
4. What is an example of semi-supervised learning?
5. What is an example of unsupervised learning?
6. What are the different phases of modeling process?

5 MARKS

1. Discuss: Machine Learning Algorithm
2. What is supervised learning? Explain.
3. Write the Applications for machine learning in data science.
4. Why we need the machine learning in Data Science?

10 MARKS

1. Explain about the types of modelling process.
2. Write in detail about types of Machine Learning.
3. Explain the Supervised and unsupervised machine learning in detail.