Outliers, Outlier Detection, Sklearn Pipeline.
finds the lower and upper bound to identify the outliers. Any value which is 1.5 times above or below these thresholds is identified as an outlier. The data points which are lesser than the minimum value and the data points which are greater than the maximum value are treated as outliers. 3.