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NPTEL Data Mining Assignment 1 Answers 2023

• by QuizXp Team
• January 25, 2023 January 25, 2023

NPTEL Data Mining Assignment 1 Answers 2023? This article will help you with the answer to the  Nation al Programme on Technology Enhanced Learning  ( NPTEL )  Course “ Data Mining Assignment 1 “

Below you can find the answers for Data Mining Assignment 1 Answers 2023

NPTEL Data Mining Assignment 1 Answers 2023:-

Q1. Which of the following is usually the last step in the data mining process?

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Q2. Sales database of items in a supermarket can be considered as an example of:

Q3. HTML links are an example of:

Q4. Name of a place, can be considered an attribute of type?

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Q5. A store sells 10 items. Maximum possible number of candidate 3-itemsets is:

Q6. If a record data matrix has reduced number of columns after a transformation, the transformation has performed:

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Q7. Support of rule {4,5} ‐> {1}

Q8. Confidence of rule {4,5} -> {1} is:

Q9. Support of {1} -> {2,5} is:

Q10. Confidence of {1} -> {2,5}

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Week 3 : assignment 3.

1-a 2-a 3-c 4-b 5-a 6-a 7-b 8-b 9-c

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NPTEL Joy Of Computing Using Python Week 3 Programming Assignment 2024

Welcome back, everyone! In this article, we'll walk you through the solutions for the Week 2 programming assignment of the NPTEL course "Joy of Computing Using Python." These answers are provided for reference, so feel free to use them as a guide. If you have any doubts or questions, don't hesitate to ask in the comments section below. Ready to dive in? Let's solve these problems together!

# Function to find the second largest number in a list def find_second_largest(numbers):     # Convert the list to a set to remove duplicates     unique_numbers = list(set(numbers))          # Sort the unique numbers in descending order     unique_numbers.sort(reverse=True)          # Return the second element, which is the second largest     return unique_numbers[1] if len(unique_numbers) > 1 else None # Main program # Prompt the user to input a list of numbers, separated by spaces input_numbers = input() # Convert the input string to a list of integers numbers_list = list(map(int, input_numbers.split())) # Find and print the second largest number second_largest = find_second_largest(numbers_list) if second_largest is not None:     print(second_largest,end="") else:     print("EMPTY") {codeBox}

# Function to remove duplicates and preserve the order def remove_duplicates(numbers):     unique_numbers = []     seen = set()          for number in numbers:         if number not in seen:             unique_numbers.append(number)             seen.add(number)          return unique_numbers # Main program # Prompt the user to input a list of numbers, separated by spaces input_numbers = input() # Convert the input string to a list of integers numbers_list = list(map(int, input_numbers.split())) # Process the list to remove duplicates while preserving the order unique_numbers = remove_duplicates(numbers_list) # Print the unique numbers separated by spaces print(" ".join(map(str, unique_numbers)), end="") {codeBox}

# Function to create a new list by adding values at odd indices def add_odd_indices(original, reversed_list):     result = []     for i in range(len(original)):         if i % 2 == 1:             result.append(original[i] + reversed_list[i])         else:             result.append(original[i])     return result # Main program # Prompt the user to input a list of integers, separated by spaces input_numbers = input() # Convert the input string to a list of integers numbers_list = list(map(int, input_numbers.split())) # Reverse the list reversed_list = numbers_list[::-1] # Create the new list by adding values at odd indices new_list = add_odd_indices(numbers_list, reversed_list) # Print the new list separated by spaces print(" ".join(map(str, new_list)), end = "") {codeBox}

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Python for Data Science NPTEL Week 2 Assignment Answers

Are you looking for the Python for Data Science NPTEL Week 2 Assignment Answers 2024? You’ve come to the right place! This guide offers detailed solutions to the Week 2 assignment questions, helping you solidify your understanding of Python programming and its applications in data science.

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Python for Data Science Nptel Week 2 Assignment Answers (JULY-DEC 2024)

Q1. Which of the following object does not support indexing? tuple list dictionary set

Answer: set

Q2. Given a NumPy array, arr = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]]]), what is the output of the command, print(arr[0][1])?

[[1 2 3] [4 5 6] [7 8 9]] [1 2 3] [4 5 6] [7 8 9]

Answer: [4 5 6]

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These are Python for Data Science Nptel Week 2 Assignment Answers

Q3. What is the output of the following code?

[2, 3, 4, 5] [0 1 2 3] [1, 2, 3, 4] Will throw an error: Set objects are not iterable.

Answer:[1, 2, 3, 4]

Q4. What is the output of the following code?

import numpy as np arr = np.array (np.arange(0, 15)) print(arr.reshape (3,5))

Q5. Which of the following code gives output My friend’s house is in Chennai?

Answer: a),d)

Q6. Let t1 = (1, 2, “tuple”, 4) and t2 = (5, 6, 7). Which of the following will not give any error after the execution?

a) t1.append(5)

b) x=t2[t1[1]]

c) t3=t1+t2

d) t3=(t1,t2)

e) t3=(list(t1),list(t2))

Answer: b),c),d),e)

Q7. Let d= {1 : “Pyhton”, 2 : [1, 2, 3]}. Which among the following will not give the error after the execution?

a) d[2].append(4)

c) d[“one”]=1

d) d.update(‘one′:2)

Answer: a),c),d)

Q8. Which of the following data type is immutable? list set tuple dictionary

Answer: tuple

Q9. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]} Which among the following will return {‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’} a) student.update({‘age’ : 26}) b) student.update({‘age’ : 26, ‘phone’: ‘123-456’}) c) student[‘phone’] = ‘123-456’ d) student.update({‘age’ : 26}) e) None of the above

Answer: b),c)

Q10.What is the output of the following code?

[‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’] [‘m’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘M’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘m’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]

Answer: [‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]

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Python for Data Science NPTEL Week 2 Assignment Answers (JAN-APR 2024 )

Course name: Python For Data Science

These are NPTEL Python for Data Science Assignment 2 Answers

Q2. Given a NumPy array, arr = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]]]), what is the output of the command, print(arr[0][1])? a. [[1 2 3] [4 5 6] [7 8 9] b. [1 2 3] c. [4 5 6] d. [7 8 9]

Answer: c. [4 5 6]

Q3. What is the output of the following code? [2, 3, 4, 5] [0 1 2 3] [1, 2, 3, 4] Will throw an error: Set objects are not iterable.

Answer: [1, 2, 3, 4]

Q4. What is the output of the following code? a) b) c) d)

Answer: c) [[0 1 2 3 4 [ 5 6 7 8 9] [10 11 12 13 14]]

Q5. Which of the following code gives output My friend’s house is in Chennai? a) b) c) d)

Answer: a), d) a) place = ‘Chennai’ print (“My friend’s house is in {}”. format (place) ) d) print (“My friend’s house is in {}”. format (“Chennai”) )

Q6. Let t1=(1,2,“tuple”,4) and t2=(5,6,7). Which of the following will not give any error after the execution? t1.append(5) x=t2[t1[1]] t3=t1+t2 t3=(t1,t2) t3=(list(t1), list(t2))

Answer: b, c, d, e

Q7. Let d={1:“Pyhton”,2:[1,2,3]}. Which among the following will not give the error after the execution? d[2].append(4) x=d[0] d[“one”]=1 d.update({‘one’ : 2})

Answer: a, c, d

Q9. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]} Which among the following will return {‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’}? a. student.update({‘age’ : 26}) b. student.update({‘age’ : 26, ‘phone’: ‘123-456’}) c. student[‘phone’] = ‘123-456’ student.update({‘age’ : 26}) d. None of the above

Answer: a, b, c

Q10. What is the output of the following code? [‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’] [‘m’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘M’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘m’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]

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Python for Data Science NPTEL Week 2 Assignment Answers (JAN-APR 2023 )

Course Name: Python for Data Science

Q1. What will be the output of the following:

a. [[2 6 10] [4 8 12]] b. [[2 4 6] [8 10 12]] c. [[2 4] [6 8] [10 12]] d. [[2 8] [4 10] [6 12]]

Answer: b. [[2 4 6] [8 10 12]]

Q2. Let t1 = (1, 2, “tuple”, 4) and t2 = (5, 6, 7). Which of the following will not give any error after the execution? a. t1.append(5) b. x = t2[t1[1]] c. t3 = t1 + t2 d. t3 = (t1, t2) e. t3 = (list(t1), list(t2))

Answer: a, b, c, d, e

Q3. Let d1 = {1 : “Pyhton”, 2 : [1, 2, 3]}. Which among the following will not give the error after the execution? a. d1[2].append(4) b. x = d1[0] c. d1[“one”] = 1 d. d1.update({‘one’ : 2})

Q4. S1 = {1, 2, 3} S2 = {5, 6, 3} S1.add(4) S2.add(“4”) What will be the output of S1 − S2? a. {1, 2, 3} b. {1, 2, 3, 4} c. {1, 2, “4”} d. {1, 2, 4}

Answer: d. {1, 2, 4}

Q5. S1 = “Hello” and S2 = “World”. Which of the following will not return “Hello world”? a. S1 + “ ” + S2 b. S1[0 :] + “ ” + S2[0 :] c. “{} {}”.format(S1, S2) d. S1[: −1] + “ ” + S2[: −1]

Answer: d. S1[: −1] + “ ” + S2[: −1]

Q6. Given a NumPy array, arr = np.array([[1, 9, 10], [3, 7, 6], [12, 8, 0]]), find the correct command from the following options to get an output array as [16 24 16]? a. arr[1: 2] b. np.sum(arr, axis = 0) c. np.sum(arr, axis = 1) d. np.sum([[1, 9, 10], [3, 7, 6], [12, 8, 0]])

Answer: b. np.sum(arr, axis = 0)

Q7. mat = np.matrix(“5, 9, 10; 2, 5, 4; 1, 9, 8; 2, 6, 8”) mat1 = np.matrix(“1, 2, 3, 4”) mat2 = np.insert(mat, 1, mat1, axis= 1) print(mat2) What will be the output of the above command? a. [[5 2 1 2] [1 2 3 4] [9 5 9 6]] [10 4 8 8]] b. [[1 2 3 4] [5 2 1 2] [9 5 9 6]] [10 4 8 8]] c. [[5 1 9 10] [2 2 5 4] [1 3 9 8]] [2 4 6 8]] d. It will give an error.

Answer: d. It will give an error.

Q8. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]} Which among the following will return {‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’} a. student.update({‘age’ : 26}) b. student.update({‘age’ : 26, ‘phone’: ‘123-456’}) c. student[‘phone’] = ‘123-456’ d. student.update({‘age’ : 26}) e. None of the above

Answer: b, c

Q9. c = np.arange(start = 1, stop = 20, step = 3). What is c[5]? a. 13 b. 16 c. 15 d. 12

Answer: b. 16

Q10. Which of the following data type is immutable? a. list b. set c. tuple d. dictionary

Answer: c. tuple

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Python for Data Science NPTEL Week 2 Assignment Answers (JULY-DEC 2022 )

Q1. Which of the following function(s) can be used to resize a NumPy array in Python from the given options. a. array.shape(reshape) b. array.reshape(shape) c. numpy.reshape(array, shape) d. numpy.reshape(shape, array)

Answers: b, c

2. Create the tuples given below: tuple_1 = (1,5,6,7,8) tuple_2 = (8,9,4)

Identify which of the following options does not work on the given tuples

a. sum(tuple_1) b. len(tuple_2) c. tuple_2 + tuple_1 d. tuple_1[3] = 45

Answers: d. tuple_1[3] = 45

3. Create a sequence of numbers from 15 to 25 and increment by 4. What is the index of the element 19? a. 3 b. 2 c. 0 d. 1

Answers: d. 1

4. Consider a variable job = “chemist”. Which of the following expression(s) will retrieve the last character from the string?

a. job[7] b. job[len(job) – 1] c. job[5:6] d. job[- 1]

5. Given a list, ls = [1, 2, 3, 3, 2, 3, 1, 4, 5, 6, 5, 6, 3, 2, 1, 1, 1, 7, 8, 9, 7, 8, 9, 7, 8, 9, 7, 8, 9, 10, 10, 1, 2, 3, 9, 10], which of the following would be the most efficient method in determining the unique elements present in ls? a. By converting ls into a NumPy array, and applying relevant methods b. By converting ls into a set c. By iterating through ls, and doing appropriate manipulations d. None of the above

Answers: b. By converting ls into a set

6. Which of the following data structure(s) can be used as a key while creating a dictionary? a. list b. str c. set d. None

Answers: b. str

7. Given a dictionary, states = {‘Tamil Nadu’: ‘TN’, ‘Karnataka’: ‘KA’, ‘Kerala’: ‘KL’, ‘Maharashtra’: ‘MH’}, which of the following command(s) is used to remove the key-value pair ‘Karnataka’: ‘KA’ from it? a. del states[‘Karnataka’] b. states.popitem(‘Karnataka’) c. states.pop(‘Karnataka’) d. del states[‘Karnataka’:’KA’]

Answers: c. states.pop(‘Karnataka’)

8. Which of the following is valid to declare a string literal Shin’ichi to a variable? a. “Shin’ichi” b. ‘Shin”ichi’‘ c. Shin’ichi’ d. None of the above

Answers: a. “Shin’ichi”

9. Which of the following commands can be used to create a NumPy array? a. np.array() b. np.zeros() c. np.empty() d. All of the above

Answers: d. All of the above

10. Given a NumPy array, arr = np.array([[5,9,10], [7,2,6], [12,8,0]]), find the correct command from the following options to get an output array as [24 15 20]?

a. np.sum(arr) b. np.sum(arr, axis = 0) c. np.sum(arr, axis = 1) d. None of the above

Answers: c. np.sum(arr, axis = 1)

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NPTEL Data Science Using Python – Week 2: Assignment 2 Answers

3. Given the following dataset representing the ages of participants in a study: [22, 25, 19, 24, 22, 26, 28, 22, 21]. The median of these ages is ____________.

6. Which of the following is not a goal of inferential statistics?

9. Which conditions necessitate the use of a two-tailed test?

12. Conditional probability is used when:

15. Based on the box and whisker plot, if several data points were identified outside the range of typical values, these points are considered ____________.

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• Classify data science problems into standard typology (Comprehension)
• Develop R codes for data science solutions (Application) 
• Correlate results to the solution approach followed (Analysis)
• Assess the solution approach (Evaluation) 
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