Jawaharlal Nehru Technological University Hyderabad
Jawaharlal Nehru Technological University Hyderabad B.Tech III DATA SCIENCE Previous Question Paper (January/February - 2023 - R18)
Note: i) Question paper consists of Part A, Part B.
ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions.
iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
Define big data.
Answer
Big Data refers to datasets that are so voluminous, complex, and fast-growing that traditional data processing software and database management systems cannot effectively capture, store, manage, or analyze them. It is typically characterized by the three Vs: Volume, Velocity, and Variety.
What do you mean by Data Analysis?
Answer
Data Analysis is the systematic process of inspecting, cleansing, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. It involves applying statistical and logical techniques to describe, illustrate, and evaluate data to extract actionable insights.
How to choose k value for kNN algorithm?
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What are the basic tools of exploratory data analysis?
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State Bayes law.
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What is the purpose of Laplace smoothing?
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What is the need of web scraping?
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List the limitations of decision tree.
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What are the trending tools for data visualization?
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What is the difference between security and privacy?
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Part B
Discuss the skills required by geeks to become successful data scientists.
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What kinds of data need to be handled by a strong data scientist? Give examples for each kind.
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Probability distributions are the foundations of statistical models. Explain the following distributions with illustrations:
Normal distribution
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Poisson distribution
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Gamma distribution.
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How to quantify popularity of a web page? Explain your approach.
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Exemplify the stages in the data science process.
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Describe various evaluation metrics used for classification and prediction algorithms.
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Demonstrate usage of k-nearest neighbor algorithm for handwritten digit recognition.
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Explain the significance of Naïve Bayesian classifier and compare it with kNN.
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Discuss the characteristics of web scrapping tools and APIs.
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Make a comparison of two crowdsourcing models.
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Contrast filters and wrappers for feature selection.
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Describe the role of entropy in decision trees.
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"Social sciences have the capacity to produce vastly more data than the physical sciences." Support or oppose this statement with proper justification.
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Explain the idea of quantification for visualization.
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Emphasize the significance of optimization in data science.
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How to provide security and privacy for data during data science process? Give illustrations.
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