What is Supervised Learning?

Supervised learning trains models on labeled input-output pairs so they can predict outputs for new inputs.

Core idea

You provide examples: features (X) and labels (y). The model learns a mapping f(X) → y.

Common tasks

• Classification — predict a category
• Regression — predict a continuous value

Next steps

Practice with a simple classifier on a tabular dataset, then evaluate accuracy and confusion matrices.