Which transformation technique adjusts the distribution of data to resemble a normal distribution?
- Standardization (Z-score scaling)
- Min-Max Scaling
- Box-Cox Transformation
- Log Transformation
The Box-Cox transformation is used to adjust the distribution of data to be closer to a normal distribution. It does this by raising the data to a specific power, which is determined based on the data's characteristics. This can help with statistical modeling.
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