When a dataset has values ranging from 0 to 1000 in one column and 0 to 1 in another column, which transformation can be used to scale them to a similar range?
- Normalization
- Log Transformation
- Standardization
- Min-Max Scaling
Min-Max Scaling, also known as feature scaling, is used to transform values within a specific range (typically 0 to 1) for different features. It ensures that variables with different scales have a similar impact on the analysis.
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