Data Scientist
mediumds-outliers
How do you detect and handle outliers in a dataset?
Answer
Outliers may be errors or real rare events.
Detection:
- Visuals (box plots, scatter)
- Z-score/IQR rules
- Model-based (isolation forest)
Handling:
- Fix data issues
- Cap/winsorize
- Use robust models/metrics
Avoid blindly removing outliers—confirm whether they represent meaningful business cases.
Related Topics
Data CleaningStatisticsModeling