Which of the following is a dataset issue that can be resolved using pre-processing?

The correct answer is D. Numbers stored as strings. The syllabus describes that data pre-processing includes cleaning (e.g., fixing or removing invalid data) and transforming data (e.g., changing data types such as numbers stored as strings). "Transformation: The format of the given data is changed... converting categorical data…

Machine Learning (ML)

Question

Options

AInsufficient data
BInvalid data
CWanted outliers
DNumbers stored as strings

How the community answered

(36 responses)

A
17% (6)
B
6% (2)
C
3% (1)
D
75% (27)

Explanation

The syllabus describes that data pre-processing includes cleaning (e.g., fixing or removing invalid data) and transforming data (e.g., changing data types such as numbers stored as strings). "Transformation: The format of the given data is changed... converting categorical data into numerical data, changing image formats..."

Topics

#data pre-processing#dataset issues#data quality#data types

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