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Download JNTUH MBA 1st Semester 2018 Jan Foundations of Data Science Question Paper

Download JNTUH (JNTU Hyderabad) MBA First Year (1st Semester) 2018 Jan Foundations of Data Science Question Paper.

This post was last modified on 27 November 2019

This download link is referred from the post: JNTUH MBA 1st Sem Last 10 Year Question Papers (2010-2020) All Regulation-First Semester (JNTU Hyderabad)


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Question Paper Code: BCS001

Jawaharlal Nehru Technological University Hyderabad

M.Tech I Semester End Examinations (Regular) - January, 2018

Regulation: R16

FOUNDATIONS OF DATA SCIENCES

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(Computer Science and Engineering )

Time: 3 Hours Max Marks: 70

Answer ONE Question from each Unit

All Questions Carry Equal Marks

All parts of the question must be answered in one place only

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UNIT - I

  1. (a) Describe the roles and responsibilities in a data science project. [7M]
    (b) Write an R script to display Fibonacci sequence using recursion. [7M]
  2. (a) What is the basic syntax for creating a matrix in R. Write the R script to access the elements of a matrix. [7M]
    (b) Write the R script to perform addition, subtraction, multiplication, division operations on matrices. [7M]
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UNIT - II

  1. (a) Create a XML file with employee id, name, and salary, join date, dept for 10 employees. [7M]
    (b) Write an R script to get number of nodes present in XML file created above. [7M]
  2. (a) Create a JSON file with employee id, name, and salary, join date, dept for 10 employees. [7M]
    (b) Write an R script to read the XML file created in A into R by installing appropriate packages required. [7M]
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UNIT - III

  1. (a) Discuss Naïve Bayes memorization methods with its applications. [7M]
    (b) What is K-fold cross-validation and explain by taking a data set as example? [7M]
  2. (a) Discuss about clustering in detail? Elaborate k means algorithm. Write a R Script to implement Manhattan distance [7M]
    (b) List the different types of clustering. Write about k-nn algorithm. Write a R Script to cluster the mtcars dataset using k-nn algorithm. [7M]
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UNIT IV

  1. (a) Compare various learning algorithms in detail and explain them with formulas. [7M]
    (b) Describe null hypothesis and alternative hypothesis with examples. What is p- value and give its importance. [7M]
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  3. (a) Describe the basic structure of back propagation ANN algorithm. Elaborate each layer importance and error propagation function. [7M]
    (b) Describe the basic principle of sampling theory with some applications. [7M]

UNIT - V

  1. (a) How to partition the window to get more number of plots? Discuss on single and multi object plots in R. [7M]
    (b) Elaborate how to export a graph using graphics parameters. How to export the text data to plot with example. [7M]
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  3. (a) How to plot the word data based n frequency of words. Write R script to plot a data frame having 2 data frames using relevant plot. (Assume your own data frames) [7M]
    (b) Generalize the graphical analysis in data analysis? List the various plots in R and explain in detail. [7M]


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This download link is referred from the post: JNTUH MBA 1st Sem Last 10 Year Question Papers (2010-2020) All Regulation-First Semester (JNTU Hyderabad)