What is supervised learning in Python?

What is supervised learning in Python?

Supervised learning is a type of machine learning where a model is trained on labeled data. It learns to map inputs to outputs.

Can you give me an example of a supervised learning algorithm?

Sure! A common example is the linear regression algorithm, which predicts a continuous output based on input features.

How do I implement linear regression in Python?

You can use libraries like scikit-learn. First, import the library, then create a model, fit it with your data, and make predictions.

What are some common metrics to evaluate supervised learning models?

Common metrics include accuracy, precision, recall, F1 score, and mean squared error, depending on the problem type.