The 5 most useful Techniques to Handle Imbalanced datasets

Have you ever faced an issue where you have such a small sample for the positive class in your dataset that the model is unable to learn?

In such cases, you get a pretty high accuracy just by predicting the majority class, but you fail to capture the minority class, which is most often the point of creating the model in the first place.

Such datasets are …