Features and labels
In the video, you learned that features and labels are key elements in supervised machine learning. Furthermore, it's important to understand the difference between them when building a model.
Juan wants to build a recommendation system that predicts the industry someone works in based on other personal information. Juan has a dataset that he wants to use to train his model. Help him identify which column contains labels.
This exercise is part of the course
Understanding Data Science
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
