Which of the following is a dataset issue that can be resolved using pre-processing?
A.
Insufficient data
B.
Invalid data
C.
Wanted outliers
D.
Numbers stored as strings
The Answer Is:
D
This question includes an explanation.
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…"