Supervised Learning

In Supervised Learning, you have labelled data and are trying to predict a label (dependent variable) based on known features (independent variables). Historical data predicts likely future events.
Supervised Learning applies already learned concepts from a training dataset to a test dataset.

Common Types

• Regression
• Classification

Learners

• Weak : Model which explains the variance more or less accurately
• Strong : Model which explains the variance accurately