Deep Learning - Crash Course 2023 - Cleaning and Examining the data

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Computers
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9th - 10th Grade
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the two primary methods to handle missing values in a DataFrame?
Convert data types and rename columns
Remove rows/columns with nulls and use imputation
Remove duplicates and sort values
Merge and join DataFrames
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is used to identify missing values in a DataFrame?
dropna
fillna
notnull
isnull
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you remove rows with null values from a DataFrame?
Using the fillna method
Using the dropna method
Using the replace method
Using the append method
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the result of using the iloc attribute on a DataFrame?
It returns data based on column labels
It returns data based on index positions
It returns data based on a condition
It returns data based on column data types
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which attribute would you use to access data by index label?
at
iloc
iat
loc
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of using conditional operators on a DataFrame?
To change data types
To filter data based on specific criteria
To sort the DataFrame
To merge two DataFrames
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When is imputation particularly useful?
When data types need conversion
When there are no missing values
When there is a large amount of missing data
When columns need renaming
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