Introduction to Data Science 2024 — MAKAUT · PCC-DS-301 · Mid Sem PYQ with solutions

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Maulana Abul Kalam Azad University of Technology

Solutions

31 answers across 3 groups

Try each question first, then open it to check your answer.

Group AVery Short Answer Type Question · answer any 10 · 1 mark each

  1. I

    Suppose that we have N independent variables (X1,X2... Xn) and dependent variable is Y. Now Imagine that you are applying linear regression by fitting the best fit line using least square error on this data. You found that correlation coefficient for one of it's variable(Say X1) with Y is -0.95. Which of the following is true for X1?

    Free sample

    Answer: As X1X_1 increases, YY decreases, and vice versa.

    Explanation

    The correlation coefficient of -0.95 indicates a very strong negative linear relationship between the independent variable X1X_1 and the dependent variable YY.

  2. II

    Which of the following are most widely used metrics and tools to assess a classification model?

  3. III

    What kind of data is dealt by a Data Scientist?

  4. IV

    What kind of data type is used by pandas?

  5. V

    In a sample of 235 adolescents, the mean score on a scale measuring body image was 15.0, the median was 17, the range was 23, and the SD was 3.0. Ten adolescents had scores of 19 on the scale. What was their deviation score?

  6. VI

    What is machine learning?

  7. VII

    How many types of regression models are there?

  8. VIII

    What is ego network?

  9. IX

    What is information?

  10. X

    Which library is used to plot data?

  11. XI

    If x is 21 and the distribution is 10, 15, 25, 20,35 the sum of squared deviations from the x will be_____.

  12. XII

    What are bagging and boosting?

Group BShort Answer Type Question · answer any 3 · 5 marks each

  1. 2

    What are the data types in Python? Explain mutable and immutable objects in Python.

  2. 3

    What do you mean by social network? What are the characteristics of social network?

  3. 4

    Discuss feature extraction and feature reduction in the light of feature engineering.

  4. 5

    Find linear regression equation for the following set of data.

    x2468
    y37510
    Show answer to question 5
  5. 6

    Explain confusion matrix with example. Define classification accuracy.

Group CLong Answer Type Question · answer any 3 · 15 marks each

  1. 7(a)

    Explain parametric and non-parametric statistical learning methods.

    4 marks
  2. 7(b)

    What is regression analysis? Write down the different regression analysis techniques.

    6 marks
  3. 7(c)

    Discuss the differences between classification and regression.

    5 marks
  4. 8(a)

    What is F1 score and how to calculate it?

    3 marks
  5. 8(b)

    Define the similarity functions: Jaccard Index, Cosine based similarity and Manhattan distance similarity.

    6 marks
  6. 8(c)

    What is bias-variance trade-off in data science?

    6 marks
  7. 9(a)

    What affects the decision boundary in SVM?

    3 marks
  8. 9(b)

    What is bootstrapping in Bagging and Random Forest?

    6 marks
  9. 9(c)

    Write down the steps of Random Forest Algorithm.

    6 marks
  10. 10(a)

    Discuss Normal, t-student and Chi-squared distribution of data.

    12 marks
  11. 10(b)

    What is the role of Eigen Value and Eigen Vector in PCA?

    3 marks
  12. 11(a)

    Describe the steps of obtaining a random sample of data.

    8 marks
  13. 11(b)

    What is hypothesis testing?

    5 marks
  14. 11(c)

    Briefly exemplify confidence interval.

    2 marks

About this paper

The MAKAUT Introduction to Data Science (PCC-DS-301) 2024 Mid Sem previous year question paper, set in semester 3. Download the verified PDF or read it online, then check your answers against the worked solutions above.

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What is the subject code for Introduction to Data Science?

PCC-DS-301 is the MAKAUT subject code for Introduction to Data Science.

Which exam is this Introduction to Data Science question paper from?

The MAKAUT 2024 Mid Sem exam, semester 3. A student shared it, and it was checked before publishing.

Which branches is this Introduction to Data Science paper for?

B.Tech Computer Science and Engineering (Data Science).

Where can I find more PCC-DS-301 question papers?

On the Introduction to Data Science subject page, which collects every year's papers along with notes and the syllabus.

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