{Week 1} NPTEL Python For Data Science Assignment Answer 2024

NPTEL Python For Data Science Week 1 Assignment Answer 2024

Q1. What is the output of the following code?

Contents

NPTEL Python For Data Science Week 1 Assignment Answer 2024 NPTEL Python For Data Science Week 4 Assignment Answer 2023 NPTEL Python For Data Science Week 3 Assignment Answer 2023 NPTEL Python For Data Science Week 2 Assignment Answer 2023 NPTEL Python For Data Science Week 1 Assignment Answer 2023

36
121212
123
Error: Invalid operation, unsupported operator ‘*’ used between ‘int’ and ‘str’

Answer:- For Answer Click Here

Q2. What is the output of the following code?

-1
-2
-1.28
1.28

Answer:- For Answer Click Here

Q3. Consider a following code snippet. What is a data type of y𝑦?

int
float
str
Code will throw an error.

Answer:-

Q4. Which of the following variable names are INVALID in Python?
1 variable
variable 1
variable1
variable#

Q5. While naming the variable, use of any special character other than underscore(_) will throw which type of error?
Syntax error
Key error
Value error
Index error

Answer:- For Answer Click Here

Q6. Let x = “Mayur”. Which of the following commands converts the ‘x’ to float datatype?
str(float,x)
x.float()
float(x)
Cannot convert a string to float data type

Answer:-

Q7. Which Python library is commonly used for data wrangling and manipulation?
Numpy
Pandas
scikit
Math

Answer:-

Q8. Predict the output of the following code.

12.0
12
11.667
11

Answer:-

Q9. Given two variables, j = 6 and g = 3.3. If both normal division and floor division operators were used to divide j by g, what would be the data type of the value obtained from the operations?
int, int
float, float
float, int
int, float

Answer:- For Answer Click Here

Q10. Let a = 5 (101 in binary) and b = 3 (011 in binary). What is the result of the following operation?

3
7
5
1

Answer:-

NPTEL Python For Data Science Week 4 Assignment Answer 2023

1. Which of the following are regression problems? Assume that appropriate data is given.

Predicting the house price.
Predicting whether it will rain or not on a given day.
Predicting the maximum temperature on a given day.
Predicting the sales of the ice-creams.

Answer :- For Answer Click Here

2. Which of the followings are binary classification problems?

Predicting whether a patient is diagnosed with cancer or not.
Predicting whether a team will win a tournament or not.
Predicting the price of a second-hand car.
Classify web text into one of the following categories: Sports, Entertainment, or Technology.

Answer :- For Answer Click Here

3. If a linear regression model achieves zero training error, can we say that all the data points lie on a hyperplane in the (d+1)-dimensional space? Here, d is the number of features.

Answer :-

Read the information given below and answer the questions from 4 to 6:

Data Description:

An automotive service chain is launching its new grand service station this weekend. They offer to service a wide variety of cars. The current capacity of the station is to check 315 cars thoroughly per day. As an inaugural offer, they claim to freely check all cars that arrive on their launch day, and report whether they need servicing or not!

Unexpectedly, they get 450 cars. The servicemen will not work longer than the working hours, but the data analysts have to!

Can you save the day for the new service station?

How can a data scientist save the day for them?

He has been given a data set, ‘ServiceTrain.csv’ that contains some attributes of the car that can be easily measured and a conclusion that if a service is needed or not.

Now for the cars they cannot check in detail, they measure those attributes and store them in ‘ServiceTest.csv’

Problem Statement:

Use machine learning techniques to identify whether the cars require service or not

Read the given datasets ‘ServiceTrain.csv’ and ‘ServiceTest.csv’ as train data and test data respectively and import all the required packages for analysis.

4. Which of the following machine learning techniques would NOT be appropriate to solve the problem given in the problem statement?

kNN
Random Forest
Logistic Regression
Linear regression

Answer :-

5. After applying logistic regression, what is/are the correct observations from the resultant confusion matrix?

True Positive = 29, True Negative = 94
True Positive = 94, True Negative = 29
False Positive = 5, True Negative = 94
None of the above

Answer :-

Prepare the data by following the steps given below, and answer questions 6 and 7.

Encode categorical variable, Service – Yes as 1 and No as 0 for both the train and test datasets.
Split the set of independent features and the dependent feature on both the train and test datasets.
Set random_state for the instance of the logistic regression class as 0.

6. The logistic regression model built between the input and output variables is checked for its prediction accuracy of the test data. What is the accuracy range (in %) of the predictions made over test data?

60 – 79
90 – 95
30 – 59
80 – 89

Answer :-

7. How are categorical variables preprocessed before model building?

Standardization
Dummy variables
Correlation
None of the above

Answer :-

The Global Happiness Index report contains the Happiness Score data with multiple features (namely the Economy, Family, Health, and Freedom) that could affect the target variable value.

Prepare the data by following the steps given below, and answer question 8

Split the set of independent features and the dependent feature on the given dataset
Create training and testing data from the set of independent features and dependent feature by splitting the original data in the ratio 3:1 respectively, and set the value for random_state of the training/test split method’s instance as 1

8. A multiple linear regression model is built on the Global Happiness Index dataset ‘GHI_Report.csv’. What is the RMSE of the baseline model?

2.00
0.50
1.06
0.75

Answer :-

9. A regression model with the following function y=60+5.2x was built to understand the impact of humidity (x) on rainfall (y). The humidity this week is 30 more than the previous week. What is the predicted difference in rainfall?

156 mm
15.6 mm
-156 mm
None of the above

Answer :- For Answer Click Here

10. X and Y are two variables that have a strong linear relationship. Which of the following statements are incorrect?

There cannot be a negative relationship between the two variables.
The relationship between the two variables is purely causal.
One variable may or may not cause a change in the other variable.
The variables can be positively or negatively correlated with each other

Answer :-

NPTEL Python For Data Science Week 3 Assignment Answer 2023

1. Which of the following is the correct approach to fill missing values in case of categorical variable?

Mean
Median
Mode
None of the above

Answer :-

2. Of the following set of statements, which of them can be used to extract the column Type as a separate dataframe?

df_cars[[‘Type’]]
df_cars.iloc[[:, 1]
df_cars.loc[:, [‘Type’]]
None of the above

Answer :-

3. The method df_cars.describe() will give description of which of the following column?

Car name
Brand
Price (in lakhs)
All of the above

Answer :-

4. Which pandas function is used to stack the dataframes vertically?

pd.merge()
pd.concat()
join()
None of the above

Answer :-

5. Which of the following are libraries in Python?

Pandas
Matplotlib
NumPy
All of the above

Answer :-

6. Which of the following variable have null values?

ID
Company
Review Date
Rating

Answer :-

7. Which of the following countries have maximum locations of cocoa manufacturing companies?

U.K.
U.S.A.
Canada
France

Answer :-

8. After checking the data summary, which feature requires a data conversion considering the data values held?

Rating
Review date
Company
Bean origin

Answer :-

9. What is the maximum rating of chocolates?

1.00
5.00
3.18
4.00

Answer :-

10. What will be the output of the following code?
a3q10

[bool, int, float, float, str]
[str, int, float, float, str]
[bool, int, float, int, str]
[bool, int, int, float, str]

Answer :-

NPTEL Python For Data Science Week 2 Assignment Answer 2023

1. Which of the following object does not support indexing?

tuple
list
dictionary
set

Answer :- set

2. 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]

3. 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]

4. What is the output of the following code?
a2q4

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

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

Answer :- place = 'Chennai'
print("My friend's house is in {}".format(place))

print("My friend's house is in {}".format("Chennai"))

6. 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 :- x=t2[t1[1]]

t3=t1+t2

t3=(t1,t2)

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

7. 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’ : 22})

Answer :- d[2]
.append(4)

d[
“one”]=1

d.
update({‘one’ : 2
})

8. Which of the following data type is immutable?

list
set
tuple
dictionary

Answer :- tuple

Tuples are immutable, meaning their elements cannot be changed after creation. Once a tuple is created, its contents remain fixed. In contrast, lists, sets, and dictionaries are mutable data types, which means their elements or values can be modified after they are created.

9. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]}

Which among the following will return
{‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’}?

student.update({‘age’ : 26})
student.update({‘age’ : 26, ‘phone’: ‘123-456’})
student[‘phone’] = ‘123-456’
student.update({‘age’ : 26})
None of the above

Answer :- student.update({‘age’ : 26, ‘phone’: ‘123-456’}) 

student[‘phone’] = ‘123-456’

student.update({‘age’ : 26})

10. What is the output of the following code?
a2q10

[‘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 :- a. ['M', 'A', 'H', 'E', 'S', 'H']

NPTEL Python For Data Science Week 1 Assignment Answer 2023

1. What is the output of the following code?

36
121212
123
Error: Invalid operation, unsupported operator ‘*’ used between ‘int’ and ‘str’

Answer :- 121212

2. What is the output of the following code?

-1
-2
-1.28
1.28

Answer :-  -2

3. Consider a following code snippet. What is a data type of y?

int
float
str
Code will throw an error.

Answer :- str

4. Which of the following variable names are INVALID in Python?

1_variable
variable_1
variable1
variable#

Answer :- 1_variable, variable#

5. While naming the variable, use of any special character other than underscore(_) ill throw which type of error?

Syntax error
Key error
Value error
Index error

Answer :- Syntax error

6. Let x = “Mayur”. Which of the following commands converts the ‘x’ to float datatype?

str(float,x)
x.float()
float(x)
Cannot convert a string to float data type

Answer :- Cannot convert a string to float data type

7. Which Python library is commonly used for data wrangling and manipulation?

Numpy
Pandas
scikit
Math

Answer :- Pandas

8. Predict the output of the following code.
A1Q8

12.0
12
11.667
11

Answer :- 12

9. Given two variables, j = 6 and g = 3.3. If both normal division and floor division operators were used to divide j by g, what would be the data type of the value obtained from the operations?