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Quiz

Question 1

Which of the following code snippets correctly creates a list of numbers from 1 to 5 in python.

Which of the following code snippets correctly creates a list of numbers from 1 to 5 in python.(Required)

numbers = [1..5]

numbers = list{1,2,3,4,5}

numbers=[1,2,3,4,5]

numbers=(1 to 5)

Question 1

Question 2

What will be the output of the following code?

word =”Python”

print(word[-1])

What will be the output of the following code?(Required)

“P”

“n”

“Python”

“ytho”

Question 2

Question 3

Which of the following is not valid way to create a dictionary in python?

Which of the following is not a valid way to create a dictionary in python?(Required)

`my_dict = dict(one=1, two=2, three=3)`

`my_dict = {“one”:1, “two”:2, “three”:3}`

`my_dict = ([“one”,1], [“two”,2], “three”,3)`

`my_dict = dict([(“one”, 1),(“two”, 2),(“three”, 3)])`

Question 3

Question 4

Which of the following statement is used to create an empty set in python?

Which of the following statements is used to create an empty set in python?(Required)

( )

[ ]

{ }

set()

Question 4

Question 5

Consider the following Dataframe df:

import pandas as pd

data = {

‘A’:[1,2,3],

‘B’:[4,5,6],

‘C’:[7,8,9]

}

df = pd.DataFrame(data)

What will be the output of df[‘B’][1] be?

Consider the following Dataframe df:(Required)

Question 5

Question 6

You have a DataFrame df with a column named ‘score’. Which command will replace all NaN values in the ‘score’ column with the mean of the ‘score’ column?

You have a DataFrame df with a column named 'score'. Which command will replace all NaN values in the 'score' column with the mean of the 'score' column?(Required)

df[‘score’].fillna(df[‘score’].mean(), inplace=True)

df[‘score’] = df[‘score’].replace(NaN, df[‘score’].mean())

df[‘score’].replace(df[‘score’].mean(), NaN, inplace=True)

df[‘score’].mean().fillna(NaN, inplace=True)

Question 6

Question 7

How can you set the index of the DataFrame df to be the column named ‘id’?

How can you set the index of the DataFrame df to be the column named 'id'?(Required)

df.index(‘id’)

df.set_index(‘id’)

df.index = ‘id’

df.reset_index(‘id’)

Question 7

Question 8

In pandas, Index values must be:

In pandas, Index values must be:(Required)

Unique

Hashable

Both A and B

None of the above

Question 8

Question 9

Which of the following best describe the median of a dataset?

Which of the following best describes the median of a dataset?(Required)

The average value of the dataset.

The value that appears most frequently.

The middle value when the data is arranged in ascending or descending order.

The squared difference of each data point from the mean.

Question 9

Question 10

Which of the following is a measure of the strength and the direction of the linear relationship between two variables?

Which of the following is a measure of the strength and the direction of the linear relationship between two variables?(Required)

Variance

Mean

Correlation coefficient

Mode

Question 10

Question 11

What is True about bias and variance?

What is True about bias and variance?(Required)

High bias means that the model is underfitting

High variance means that the model is overfitting

Bias and variance are inversely proportional.

All of the above

Question 11

Question 12

Which of the following is FALSE about Correlation and Coveriance?

Which of the following is False about Correlation and Covariance?(Required)

A zero correlation does not necessarily imply independence between variables.

Correlation and covariance values are the same.

The covariance and correlation are always the same sign.

Correlation is the standard version of Covariance.

Question 12

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