Dealing with Imbalanced Data

A guide to effectively handling imbalanced datasets in Python

Photo by Ales Nesetril on Unsplash

Imbalanced classes are a common problem in machine learning classification where there are a disproportionate ratio of observations in each class. Class imbalance can be found in many different areas including medical diagnosis, spam filtering, and fraud detection.