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EndsemMay 20242019 patternSE AI&DS

Data Science 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 Data Science questions
Subject code
317529
Pattern
2019 pattern
Exam
Endsem
Session
May 2024
Max. marks
70
Time
2½ Hours
Semester
II
Paper code
[6262]-56

Printed for: T.E. (Artificial Intelligence and Data Science)

Instructions to the candidates

  1. Solve questions Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7 or Q.8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicate full marks.
  4. Assume suitable data if necessary.

Questions

  1. Q1

    1. a)

      What is Data Analytics Life Cycle?

      Also asked:Nov 2025 ·May 2025

      [6]
    2. b)

      Draw the diagram of the data analytics life cycle in big data and briefly explain the Model Planning phase.

      Also asked:Nov 2025 ·May 2025

      [6]
    3. c)

      Write a note on the Data Preparation phase with its steps.

      [6]

  2. Q2

    1. a)

      Explain in detail how the model-building phase is built by a team in the data analytics life cycle.

      [6]
    2. b)

      List and explain the steps in the Data Preparation phase of the data analytics lifecycle.

      [6]
    3. c)

      Explain challenges in the Model building phase.

      [6]

  3. Q3

    1. a)

      What do you mean by Linear Regression? Elaborate the types.

      [6]
    2. b)

      Explain the Apriori algorithm with an example.

      [6]
    3. c)

      Write a short note on the following: i) FP growth ii) Decision Tree Classification

      [6]

  4. Q4

    1. a)

      Explain Data transformation using function and mapping.

      [6]
    2. b)

      Write a short note on the following: i) Removing duplicates from the data set. ii) Handling missing data.

      [6]
    3. c)

      Explain association rules with examples. 2

      [6]

  5. Q5

    1. a)

      What is clustering? Explain hierarchical clustering with an example.

      [6]
    2. b)

      Explain the Holdout method and Random Sub Sampling method.

      [6]
    3. c)

      Discuss parameter tuning and optimization.

      [5]

  6. Q6

    1. a)

      Short Note on: i) AUC-ROC Curves ii) Elbow plot

      Also asked:May 2025

      [6]
    2. b)

      What is clustering? Explain k - means algorithm.

      [6]
    3. c)

      Write a short note on : i) Time series Analysis ii) TF-IDF.

      Also asked:Nov 2025

      [5]

  7. Q7

    1. a)

      What is data Visualization? List and explain any one type of data visualization.

      Also asked:Nov 2025

      [6]
    2. b)

      With a suitable example explain and draw a Box plot and explain its usage.

      [6]
    3. c)

      Discuss various challenges to Big data Visualization.

      Also asked:Nov 2025 ·May 2025

      [5]

  8. Q8

    1. a)

      Define data visualization. What are the different methods of data visualization explain in detail.

      [6]
    2. b)

      Explain in detail the Hadoop Ecosystem with a suitable diagram.

      [6]
    3. c)

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

      [5]