🤖Machine Learning Models

• Classification Models: Utilizes supervised learning algorithms such as Random Forest, Gradient Boosting Machines (GBM), and Neural Networks to classify wallets into predefined categories based on their transaction behaviors.

• Anomaly Detection: Implements unsupervised learning techniques to identify wallets that exhibit unusual behavior, potentially flagging new, undefined categories or malicious activities not previously recognized.