What are common outlier detection techniques?

What are some common techniques for detecting outliers in data?

Common techniques for detecting outliers include Z-score, IQR, DBSCAN, and Isolation Forest.

Can you explain the Z-score method?

The Z-score method identifies outliers by measuring how many standard deviations a data point is from the mean.

What about the IQR method?

The IQR method uses the interquartile range to determine outliers, defining them as points below Q1 - 1.5IQR or above Q3 + 1.5IQR.

Are there any machine learning techniques for outlier detection?

Yes, techniques like Isolation Forest and One-Class SVM are popular machine learning methods for detecting outliers.