Classification: Identify categories or labels for your data (e.g., spam detection, customer segmentation).
Regression: Predict continuous values based on historical data (e.g., sales forecasting, trend analysis).
Clustering: Group similar data points together to uncover patterns (e.g., market segmentation, anomaly detection).