Hari Devanathan

A Python tutorial on how to implement oversampling and how to make custom variations Hari Devanathan · Follow Published in Towards Data Science · 8 min read · 13 hours ago — Photo by By Topo on Unsplash Synthetic Minority Oversampling Technique (SMOTE) is commonly used to handle class imbalances in datasets. Suppose there are two classes and one class has far more samples (majority class) than the other (minority class). In that case, SMOTE