Sort data into categories—like tagging emails as spam or not. It's great for prediction and organization.
Group similar data points together—helpful in customer segmentation or detecting fraud.
Use regression to predict a future value—like sales next month—based on past data.
Find relationships between items—like “customers who buy A often buy B.” Think Amazon recommendations.
Spot outliers or unusual behaviour—perfect for fraud detection, system errors, or rare events.
These techniques turn raw data into insights—driving decisions in business, health, marketing, and beyond.