Name: Imbalanced class distributions - Dealing with imbalanced datasets
Uploaded: 2020-07-13T00:00:00Z
Description: Fortunately, fraud occurrences are rare. However, this means that you're working with imbalanced data, which if left as is will bias your detection models. In this chapter, you will tackle imbalance using over and under-sampling methods.