Skip to content
EndsemNov 20252019 patternSE AI&DS

Data Science SPPU Endsem Question Paper Nov 2025

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
Nov 2025
Max. marks
70
Time
2½ Hours
Semester
VI
Paper code
[6583]-50

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

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. Neat diagrams must be drawn whenever necessary.
  3. Figures to the right indicate full marks.
  4. Assume suitable data if necessary.

Questions

  1. Q1

    1. a)

      Explain Model Selection in detail.

      [5]
    2. b)

      Explain in Detail Data Preparation Phase of Data Analytics life cycle.

      Also asked:May 2025 ·May 2024

      [5]
    3. c)

      Explain Data Discovery phase in Data analytics Life cycle with example.

      Also asked:May 2025 ·May 2024

      [8]

  2. Q2

    1. a)

      Write a short note on i) ETL ii) Common tools for model building.

      Also asked:May 2025

      [5]
    2. b)

      Why communication is important in Data analytics Life cycle.

      Also asked:May 2025 ·May 2024

      [5]
    3. c)

      Explain Data Analytics Life Cycle with diagram.

      Also asked:May 2025 ·May 2024

      [8]

  3. Q3

    1. a)

      Write a short note on Association rule.

      [5]
    2. b)

      Describe Regression Analysis with example.

      [5]
    3. c)

      Explain how Apriori algorithm works, with a suitable example.

      [7]

  4. Q4

    1. a)

      Explain the term Support, Confidence & Lift by taking a suitable example.

      [5]
    2. b)

      Write a short note on Decision Tree.

      [5]
    3. c)

      Explain the Naïve Bayes Classifier with its Advantages & Disadvantages.

      [7]

  5. Q5

    1. a)

      Write a short note on clustering with its properties & types.

      [5]
    2. b)

      Write a short note on social network analysis.

      [5]
    3. c)

      With a suitable example explain the steps involved in K-means algorithm.

      [8]

  6. Q6

    1. a)

      Explain confusion Matrix with all its key terms.

      [5]
    2. b)

      What is Hyperparameter tuning. What are the various tuning techniques.

      [5]
    3. c)

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

      Also asked:May 2024

      [8]

  7. Q7

    1. a)

      What is mean by Data Visualization and explain its types?

      Also asked:May 2024

      [5]
    2. b)

      What are the challenges in big data visualization.

      Also asked:May 2025 ·May 2024

      [5]
    3. c)

      Explain data visualization tool Tableau.

      [7]

  8. Q8

    1. a)

      Write a short note on Hadoop Distributed File System and Hive.

      [5]
    2. b)

      Explain analytical techniques used in Big Data Visualization.

      [5]
    3. c)

      Explain MapReduce paradigm with example. 

      [7]