Deep Learning - Computer Vision for Beginners Using PyTorch - Working with Null Values
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Information Technology (IT), Architecture, Social Studies, Geography, Science
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University
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Practice Problem
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in handling missing values in a dataset?
Load the dataset using pandas
Delete all rows
Replace all values with zeros
Ignore the missing values
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is used to identify missing values in a pandas dataframe?
replace
fillna
isnull
dropna
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you count the number of missing values in each column?
Using the count method
Using the sum method with isnull
Using the mean method
Using the median method
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the dropna method do by default?
Ignores null values
Deletes columns with null values
Deletes rows with at least one null value
Replaces null values with zeros
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you ensure that changes made by dropna are saved to the original dataframe?
By using the inplace parameter
By using the save method
By using the commit method
By using the apply method
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What parameter is used to delete columns instead of rows using dropna?
axis=0
axis=1
columns=True
rows=False
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the shape of the dataframe after deleting columns with null values?
140x50
152x6
140x15
152x50
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