Handling-Imbalanced-Classand-Cross-Validation
This code explains how to use SMOTE and other over sampling libraries to increase the minority class, RandomUnderSampler to manipulate the majority class. Cross Validation Technique was also treated here. The data used in this code is a synthetic random data from sklearn dataset.
