All in One: https://www.analyticsvidhya.com/blog/2017/03/imbalanced-data-classification/
Confusion Matrix Video: https://www.youtube.com/watch?v=Kdsp6soqA7o&ab_channel=StatQuestwithJoshStarmer
Sensitivity and Specificity Video: https://www.youtube.com/watch?v=vP06aMoz4v8&ab_channel=StatQuestwithJoshStarmer
All About Metrics: https://medium.com/analytics-vidhya/confusion-matrix-accuracy-precision-recall-f1-score-ade299cf63cd
AUC-ROC Curve: https://www.youtube.com/watch?v=4jRBRDbJemM&ab_channel=StatQuestwithJoshStarmer
MCC: https://towardsdatascience.com/the-best-classification-metric-youve-never-heard-of-the-matthews-correlation-coefficient-3bf50a2f3e9a
Random Under-Sampling and Random Over-Sampling: https://machinelearningmastery.com/random-oversampling-and-undersampling-for-imbalanced-classification/
SMOTE: https://towardsdatascience.com/5-smote-techniques-for-oversampling-your-imbalance-data-b8155bdbe2b5
ADASYN: https://towardsdatascience.com/adasyn-adaptive-synthetic-sampling-method-for-imbalanced-data-602a3673ba16
Types of SMOTE Techniques: https://towardsdatascience.com/5-smote-techniques-for-oversampling-your-imbalance-data-b8155bdbe2b5
SMOTE Video: https://www.youtube.com/watch?v=U3X98xZ4_no&ab_channel=BhaveshBhatt