5 common mistakes while working with machine learning algorithms - GreatLearning

Perfection is achieved only by making mistakes. Same holds true when you work with machine learning algorithms to build models. Most of the time, it is not obvious how to proceed and navigate at the beginning and professionals are bound to make mistakes, especially those who are a novice in the domain. Here is a list of most common mistakes that are committed while working with machine learning algorithms. Hopefully, you will learn and draw valuable insights from this article that you could apply in your work.