Fraud Detection
Classifying transactions as fraudulent or legitimate using tabular transaction data.
Sales Forecasting
Predicting future sales volumes based on historical sales data and related features.
Anomaly Detection
Identifying unusual patterns or errors in datasets such as financial records or sensor data.
Data Generation
Generating synthetic tabular data for augmentation or privacy-preserving purposes.