Best practices for handling data in machine learning

Photo by Tobias Fischer on Unsplash

In this article I am going to tackle the most common data related problems a machine learning practitioner could encounter and present several ways in which one can handle them.

Content list:

  • Outliers
  • Missing values
  • Data leakage
  • Data augmentation