Outlier (Data Science) 편집하기 (부분)

==Handling Outliers==
Methods for addressing outliers depend on the context:
*'''Removing Outliers:''' Suitable when outliers are caused by errors or are irrelevant.
*'''Transforming Data:''' Applying transformations (e.g., log or square root) to reduce the impact of outliers.
*'''Using Robust Methods:''' Employ algorithms that are less sensitive to outliers, such as median-based statistics or robust regression.
*'''Separating Outliers:''' Treat outliers as a separate class for anomaly detection tasks.