Outlier detection and Implementation in Python (Part-1)
#Outliers #datascience #boxplot #iqr #zscore
It is risky to include outliers in data driven models. The existence of one single misleading value has the potential to change the conclusion implied by the model. Is is therefore, important to detect and then decide whether to remove it or not from the dataset. Sometimes the data point may be extremely high or low but that does not mean it is an outlier that we want to get rid of. It may be simply an extreme data point.
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