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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

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