Previous Year Question Paper-BTech (Machine Learning)
| END TERM EXAMINATION | |
| Sixth Semester[B.Tech] | June 2024 |
| Paper Code: ECE-350T/ML-342T | Subject : Machine Learning |
| Time:3 Hour | Maximum Marks:75 |
| Note: Attempt five Questions in all including Q.No.1 which is compulsory. Select one question from each unit. | |
| Q1 Attempt the following : (3*5=15) | |
| (a) What are the goals of machine learning. | |
| (b) Differentiate between supervised, unsupervised, and reinforcement learning. | |
| (c) What is Data pre-processing? Why is Data Preprocessing important? | |
| (d) What is over fitting? How can you avoid it? | |
| (e) Difference between Bias and Variance? | |
| UNIT I | |
| Q2. What is machine learning? Discuss the issues in machine learning and the steps required for selecting the right machine learning algorithm. (15) | |
| Q3. What are the different types of datasets in machine learning? (15) | |
| UNIT II | |
| Q4. Explain Logistic Regression. Also, explain its types. (15) | |
| Q5. Write the assumptions made in simple linear regression. Explain the properties of least-square estimators.(15) | |
| UNIT III | |
| Q6. Discuss Bagging and Boosting. (15) | |
| Q7. Explain the Decision tree algorithm in detail. (15) | |
| UNIT IV | |
| Q8. Explain the DBSCAN algorithm for density based clustering. List out its advantages compared to K-means (15) | |
| Q9. Define clustering. Explain K-means clustering with algorithm and flowchart. (15) | |
| or | |
| Q7 (a) What do you understand by Object Oriented Programming. Explain various feature associated with objects giving example whenever possible. (5) | |
| (b) Create a class “Employee” taking appropriate data members and member functions in PHP. Also create Constructor and Destructor for the same. (5) | |
