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Oracle Exam 1Z0-1096-23 Topic 4 Question 35 Discussion

Contribute your Thoughts:

Laticia
1 months ago
B) Clustering all the way! I can already see the dendrograms and scatter plots in my mind. It's like a party for the data geeks!
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Goldie
4 days ago
B) I agree! Clustering will help you create distinct customer segments for targeted marketing strategies.
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Horace
6 days ago
D) Classification
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Margurite
8 days ago
A) Regression wouldn't be the best choice for this task. Clustering is more suitable for grouping similar data points together.
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Domitila
9 days ago
C) Feature Extraction
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Carman
11 days ago
B) Clustering
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Rebeca
12 days ago
A) Regression
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Karma
25 days ago
B) Clustering is definitely the way to go for segmenting customer data. It helps identify patterns and similarities.
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Felix
1 months ago
I agree with Catrice, clustering would help us identify homogeneous groups for marketing research.
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Arthur
2 months ago
I'd go with B) Clustering. It's the best way to group those customers into nice, little homogeneous boxes. Plus, it's way more fun to play with than feature extraction or classification.
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Tonja
23 days ago
Definitely, clustering is a powerful tool for building supervised models with customer data.
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Tamar
1 months ago
I agree, clustering will help you identify those homogeneous groups for your marketing research.
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Hoa
1 months ago
Yeah, clustering is definitely the way to go for segmenting customer data.
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Nathalie
1 months ago
I'd go with B) Clustering. It's the best way to group those customers into nice, little homogeneous boxes.
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Laurel
2 months ago
B) Clustering seems like the obvious choice here. I mean, who wants to do regression on customer data? That's just plain boring!
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Martha
1 months ago
Regression would be too complex for this task, clustering is much more suitable.
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Edgar
1 months ago
Yeah, clustering will help us identify those homogeneous groups we need for our marketing research.
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Daron
2 months ago
I agree, clustering is definitely the way to go for segmenting customer data.
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Catrice
2 months ago
I think we should use clustering to segment the customer data.
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