I. Learning from examples

Supervised learning: Regression

Previously, we saw that there are various algorithms for supervised learning, which we can choose from depending on the type of input data and the problem we want to solve.

Would you like to learn more about how some of the most well-known supervised learning algorithms analyze labeled data and use it to develop a model that can make predictions? We hope so!

So let's start with the linear regression algorithm to solve a regression problem.

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Help João solve a problem – using labeled data and the supervised learning approach.

Note I: After starting, you can navigate through the slides using the small black arrows on the left and right sides.
 


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