STEAM in AI final project. The model's purpose is to detect money laundering which is an imbalanced classification problem.
Tools used: Random Undersampling, SMOTE-NC, LogisticRegression, Decision Tree, GradientBoost, AdaBoost, Classification Metrics
Since the dataset file is very large, I'll link it here instead.