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EndsemMay 20242019 patternBE Comp

Machine Learning (ML) SPPU Endsem Question Paper May 2024

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated ML questions
Subject code
410242
Pattern
2019 pattern
Exam
Endsem
Session
May 2024
Max. marks
70
Time
2½ Hours
Semester
VII
Paper code
[6263]-82

Printed for: B.E. (Computer Engineering)

Instructions to the candidates

  1. Answer Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7 or Q.8.
  2. Figures to the right side indicate full marks.
  3. Draw neat diagram wherever necessary.
  4. Assume suitable data, if necessary.

Questions

  1. Q1

    1. a)

      Define different regression models.

      Also asked:Nov 2024

      [6]
    2. b)

      What are different techniques to reduce under fitting?

      Also asked:Nov 2022

      [6]
    3. c)

      This part has equations that don’t show as text. Open the PDF to read it.

      [6]

  2. Q2

    1. a)

      What is R2 measure of evaluation?

      Also asked:Nov 2025

      [6]
    2. b)

      What do you mean by least square method? Explain least square method in the context of linear regression.

      Also asked:Nov 2024

      [6]
    3. c)

      Write a short note on stochastic qradient descent algorithms.

      [6]

  3. Q3

    1. a)

      Why ensemble learning is used for ML?

      Also asked:Nov 2025 ·May 2025

      [5]
    2. b)

      What are advantages and disadvantages of K-NN?

      Also asked:Nov 2024

      [6]
    3. c)

      What are different distance metrics used in k-NN? 2

      Also asked:Nov 2025 ·Nov 2024

      [6]

  4. Q4

    1. a)

      What is multiclass classification? Explain the variants of multiclass classification.

      [5]
    2. b)

      Explain kernel methods which are suitable for SVM.

      Also asked:Nov 2024

      [6]
    3. c)

      What are different techniques used for outlier handling?

      Also asked:Nov 2024

      [6]

  5. Q5

    1. a)

      Why K-medoid is used? Explain k-medoid algorithm.

      [5]
    2. b)

      Why density based clustering is used? Explain any one.

      Also asked:Nov 2024

      [6]
    3. c)

      What is outlier analysis?

      [6]

  6. Q6

    1. a)

      What is isolation factor model?

      Also asked:Nov 2025 ·Nov 2024

      [5]
    2. b)

      Explain k means algorithm.

      [6]
    3. c)

      Explain Hierarchical clustering with example

      [6]

  7. Q7

    1. a)

      What is Multilayer perceptron? Describe with diagram.

      [6]
    2. b)

      What are different activation function used is NN?

      Also asked:Nov 2024

      [6]
    3. c)

      Explain Convolution Neural Network. (CNN) with suitable example.

      Also asked:Nov 2025 ·Nov 2024

      [6]

  8. Q8

    1. a)

      Explain building blocks of RBF networks.

      Also asked:Nov 2025 ·Nov 2024 ·May 2023

      [6]
    2. b)

      What is Personalized recommendation? What is content based recommendation?

      Also asked:Nov 2024

      [6]
    3. c)

      This part has equations that don’t show as text. Open the PDF to read it.

      [6]