ITE302_-_FE_-_SU_2023_642.webp
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ITE302_-_FE_-_SU_2023_642.webp

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Answer (Choose 1 answer)
A. Dimensionality reduction
B. Clustering
C. Regression
D. Classification

E34
You have a dataset of customers that includes each customer's gender, location, and other personal attributes. The label you are trying to predict is how much sales revenue each customer is likely to generate for the business based on these attributes. What type of machine learning outcome is this problem suited for?

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