Handling Class Imbalance for Credit Card Fraud in Python

Whenever we do classification in ML, we often assume that target label is evenly distributed in our dataset. This helps the training algorithm to learn the features as we have enough examples for all the different cases. For example, in learning a spam fi… Read more