Best practices for handling data in machine learning

Tudor Surdoiu
8 min readJun 14, 2021
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

--

--

Tudor Surdoiu

Bio digital jazz writer, sometimes knocking on the sky and listening to the sound.