DR.
BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY, LONERE
Summer Examination – 2023
Course: B. Tech. Branch: CSE Semester :VI
Subject Code & Name: BTCOC606 Machine Learning
Max Marks: 60 Date: Duration: 3 Hr.
Instructions to the Students:
1. All the questions are compulsory.
2. The level of question/expected answer as per OBE or the Course Outcome (CO) on
which the question is based is mentioned in ( ) in front of the question.
3. Use of non-programmable scientific calculators is allowed.
4. Assume suitable data wherever necessary and mention it clearly.
(Level/CO) Marks
Q. 1 Solve Any Two of the following. 12
A) Explain the evaluation technology of machine learning algorithm? Understand/ 6
CO1
B) Explain the following: Understand/ 6
i) Linear Regression ii) Logistic regression iii) Supervised machine CO1
learning iv) Cross validation
C) Discuss the naïve bayees classifier? Apply/CO2 6
Q.2 Solve Any Two of the following. 12
A) Describe the working behavior of support vector machine with Analysis/CO 6
diagram? 3
B) Elaborate on classification and regression tree (CART) with example? Analysis/CO 6
2
C) Explain KNN algorithm with an illustrative example? Understand/ 6
CO1
Q. 3 Solve Any Two of the following. 12
A) How does K-means clustering algorithm works? Analysis/CO 6
3
B) What is perceptron. When does the perceptron fails to converge? Understand/ 6
CO1
C) Give a detail note on kernel model? Understand/ 6
CO1
Q.4 Solve Any Two of the following. 12
A) Summarize K-Means algorithm and group the points(1,0,1), (1,1,0), Apply/CO3 6
(0,0,1) and (1,1,1) using K-means algorithm?
B) Explain PCA and its process with their application? Understand/ 6
CO1
C) Describe hypothesis space search in ID3 and contrast it with Analysis/CO 6
candidate elimination algorithm? 3
Q. 5 Solve Any Two of the following. 12
A) What is the different between Finds-S and candidate elimination Understand/ 6
algorithm? CO2
B) Explain how to learn multilayer network using gradient descent Understand/ 6
algorithm? CO2
C) Differentiate between machine learning and Deep Learning. Understand/ 6
CO1
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