Outlier Detection

Introduction to Machine Learning Algorithms course - Session 4 Exercise 2 Detect and remove 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/2LAwOoMivrPPRutl