BSc CS Sem 6 BSc CS Semester 6 ATKT (2018 2019) May 2019 DATA SCIENCE Question Paper - Mumbai University | munotes

Questions asked in this paper

• 2) Figures to the right indicate marks

1. Q3 Illustrations, in-depth answers and diagrams will be appreciated
2. Q4 Mixing of sub-questions is not allowed
3. Q1 Attempt All(Each of Smarks) (15M)
   • (a) | Choose the correct alternative
4. Q1 Ordinal data is a type of
   • a) Measurement b) Catagorical
   • c)Discrete d)Continuous li. measures asymmetry about the mean of the probability distribution of a random variable shows all individual data points Iv. In , we Start with all the features and removes the least significant feature at each iteration
   • c) Recursive Feature elimination d) None of the above XPath specification has types of nodes
   • (b) the blanks. Use following pool to answer question
5. Q1 is the subset of the population li. Five number summary does not include value
   • iii. refers to the process by which principal components are
6. Q4 is a query language that is used for traversing through an has each variable saved in its own column
   • (c) in 1-2 sentences li. What is Data Aggregation? lil. What is Margin in SVM?
7. Q4 What is feature extraction?
8. Q2 Attempt the following(Any Three) (15M)
   • a) Explain data along with its types
   • b) Describe the types of observational methods used in data collection
   • c) What is EDA? Explain any two types of visualization
   • d) Compare structured and unstructured data
   • e) What is kurtosis? Explain its types
   • f) What is data wrangling? Explain with any one package
9. Q3 Attempt the following (Any THREE) (Each of 5Marks) (15M)
   • (a) | What is NoSQL? Briefly explain its types
   • (b) | What is JSON? How to read JSON file in R with an example?
   • (c) Write a note on HBase
   • (d) | What is collection in MongoDB? Give an example to create collection in
   • (e) | What are various ways to perform Web Crawling?
   • (f) Write note on XPath
10. Q4 Attempt the following (Any THREE) (Each of 15 marks
    • (a) Write short note on Time Series Analysis
    • (b) Explain Multiple Linear Regression
    • (c) | What is Decision tree? What are its advantages?
    • (d) Write note on Bias/Variance Tradeoff?
    • (e) hierarchical clustering
    • (f) Write a short note on Ensemble Methods
11. Q5 Attempt the following (Any THREE) (Each of 15 marks
    • (a) between Structured and Unstructured Data
    • (b) | Explain Map Reduce Architecture
    • (c) Write note on Support vector Machines
    • (d) Explain Bayesian Information Criterion
    • (e) MongoDB? State its features

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