Exercise: Outlier Detection

This workflow detects and removes outliers in the data using the following techniques: - Numeric outliers outside the upper/lower whiskers of a box plot - Outliers in the distribution tails (z-score) - Outliers remote from cluster centers (DBSCAN)


This is a companion discussion topic for the original entry at https://kni.me/w/PlmMjnNMy96atpHI