How to Handle Outlier Values?

Data Science, AI and ML
#1

An Outlier is an observation in the dataset that is far away from other observations in the dataset. Tools used to discover outliers are

  • Box plot
  • Z-score
  • Scatter plot, etc.

Typically, we need to follow three simple strategies to handle outliers:

  • We can drop them.
  • We can mark them as outliers and include them as a feature.
  • Likewise, we can transform the feature to reduce the effect of the outlier.