Answer:
Classification
Explanation:
Building a machine learning solution that can predict the success of a student in completing a college degree is a binary problem. There are two possible answer: success or not success.
This brings us to a supervised machine learning problem, where one trains the technique with labeled data whether it is a success or not. Since the target variable is discrete (not continuous), classification technique has to be used.
Information can be transferred and passed way easier.
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