What are some effective outlier detection techniques?

What are some effective outlier detection techniques?

There are several techniques for outlier detection, including statistical methods, clustering, and machine learning approaches.

Can you explain the statistical methods in more detail?

Sure! Statistical methods often involve using z-scores or the interquartile range (IQR) to identify outliers based on data distribution.

What about machine learning methods?

Machine learning methods include algorithms like Isolation Forest, One-Class SVM, and Autoencoders, which can learn patterns in data.

How do I choose the right technique for my data?

Choosing the right technique depends on your data's characteristics, the context of your analysis, and the specific goals you have.