As everyone knows, a giant a part of a knowledge scientist’s job is to wash and preprocess data. An enormous a part of this involves outlier detection and removal. Large outliers, spikes and bad data can really interfere with training an accurate machine learning model, so it’s necessary that outliers are handled properly.
