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Gujarat Technological UniversityWinter 2024 Examination

GTU 3150713 Python for Data Science Winter 2024 Paper Solution & PDF

B.E. · Computer Engineering · Semester 5 · Subject Code: 3150713
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Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours10:30 AM – 1:00 PM
Paper Structure5 QuestionsWith internal OR choices
Jump toQ1Q2Q3Q4Q5

Question 1

14 MarksMedium
(a)
Explain range() function with suitable examples
3 Marks
(b)
Differentiate List and Tuple in Python
4 Marks
(c)

Write a python program to read data from CSV files using pandas and Explain Slicing operation using appropriate examples.

7 Marks

Question 2

14 MarksMedium
(a)

What do you mean by slicing operation in string of python? Write an example of slicing to fetch first name and last name from full name of person and display it

3 Marks
(b)
Explain data science pipeline in details
4 Marks
(c)
Define term n-gram. Explain the TF-IDF techniques
7 Marks
OR OPTION
(c)

What is the use of following operations on Panda’s Data Frames? Explain with a small example of each. shape 2. tail() 3. describe()

7 Marks

Question 3

14 MarksMedium
(a)
Explain Groupby function in pandas with example
3 Marks
(b)

Write a program to perform the following operation about Function

1Function with multiple return values 2. Default arguments
4 Marks
(c)

What kind of data is analyzed with Bag of word model? Explain it with example.

7 Marks
OR OPTION
(a)

Why we need to perform Z-score standardization in EDA? Justify it with example

3 Marks
(b)
Write python program to demonstrate Tuple, list and Dictionary
4 Marks
(c)

Define the term Data wrangling. Explain the steps needed to perform data wrangling

7 Marks

Question 4

14 MarksMedium
(a)
Define covariance and correlation
3 Marks
(b)
Define stemming. Explain the concept of stemming with example
4 Marks
(c)
Write a python program to demonstrate the concept of skewness and kurtosis
7 Marks
OR OPTION
(a)
Explain any three functions from Scikit learn
3 Marks
(b)
Define the classification problem. How can it be solved using SciKit-learn?
4 Marks
(c)
Explain pie chart plot with appropriate examples
7 Marks

Question 5

14 MarksMedium
(a)
Explain Labels, Annotation and Legends in MatPlotLib
3 Marks
(b)
Explain Regression with example
4 Marks
(c)
Explain Hashing Trick in python with example
7 Marks
OR OPTION
(a)
Differentiate Supervised and Unsupervised learning
3 Marks
(b)
Write a brief note on NetworkX library
4 Marks
(c)

What do you mean by missing values? Explain the different ways to handle the missing value with example

7 Marks
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About this Examination Paper & Attribution

Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Python for Data Science (Winter 2024, B.E. · Computer Engineering, Sem 5). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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