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Oracle Exam 1Z0-1096-23 Topic 5 Question 25 Discussion

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Cary
4 months ago
I see your point, Edmond. Classification could also work for this purpose.
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Edmond
4 months ago
But wouldn't classification be better for building supervised models?
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Tu
5 months ago
I agree with Cary, clustering would help us identify homogeneous groups.
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Cary
5 months ago
I think we should use clustering to segment the customer data.
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Shawna
5 months ago
B) Clustering all the way! It's like grouping your customers into little friendship circles, but for marketing. Genius!
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Oretha
5 months ago
I'd go with C) Feature Extraction. You need to extract the right features from the data before you can build any supervised models.
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Rana
4 months ago
D) Classification would be my choice. It helps in categorizing data into different classes.
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Paris
4 months ago
I agree with A) Regression. It helps in predicting continuous values based on input features.
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Joesph
4 months ago
I think B) Clustering would be more appropriate. It helps identify similar groups within the data.
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Pamella
5 months ago
Definitely B) Clustering. It's the best way to segment customers into homogeneous groups for targeted marketing models.
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Rachael
4 months ago
Clustering helps identify patterns in the data that can be used for targeted marketing.
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Tora
4 months ago
I agree, B) Clustering is the way to go for segmenting customer data.
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