What are the different types of outlier removal techniques?
An example of an AI chatbot conversation about outlier removal techniques in data analysis.
What are the different types of outlier removal techniques?
There are several techniques for outlier removal, including statistical methods, clustering, and machine learning approaches.
Can you explain the statistical methods in more detail?
Sure! Common statistical methods include Z-score analysis, IQR (Interquartile Range), and modified Z-scores.
What is the IQR method?
The IQR method identifies outliers by calculating the range between the first and third quartiles and flagging values outside 1.5 times this range.
Are there any machine learning techniques for outlier detection?
Yes, techniques like Isolation Forest, One-Class SVM, and DBSCAN are popular for detecting outliers in datasets.
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