CompTIA
DY0-001 · Question #36
A data scientist is analyzing a data set with categorical features and would like to make those features more useful when building a model. Which of the following data transformation techniques…
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Data Processing Technologies
Question
A data scientist is analyzing a data set with categorical features and would like to make those features more useful when building a model. Which of the following data transformation techniques should the data scientist use? (Choose two.)
Options
- ANormalization
- BOne-hot encoding
- CLinearization
- DLabel encoding
- EScaling
- FPivoting
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Topics
#one-hot encoding#label encoding#categorical features#feature engineering