Smote Datascience Machinelearning Tutorial

Summary

In this video, we cover how to handle imbalanced Whenever we do classification in ML, we often assume that target label is evenly distributed in our dataset. This helps the to GrabNGoInfo and watch the full In this video, we delve into the challenges of imbalanced Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ... Basic techniques for handling imbalanced datasets: Don't use In this video, we discuss the class imbalance problem and how to use over-sampling methods to address this problem. We use ...