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Amazon MLS-C01 Exam - Topic 1 Question 41 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 41
Topic #: 1
[All MLS-C01 Questions]

A Machine Learning Specialist is working with a media company to perform classification on popular articles from the company's website. The company is using random forests to classify how popular an article will be before it is published A sample of the data being used is below.

Given the dataset, the Specialist wants to convert the Day-Of_Week column to binary values.

What technique should be used to convert this column to binary values.

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Suggested Answer: B

by Lynelle at May 05, 2022, 09:23 AM

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Lenna
4 months ago
Really? One-hot encoding for just days? Sounds excessive!
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Dierdre
4 months ago
I thought normalization was for scaling, not for this.
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Francesco
4 months ago
Wait, why not just use binarization? Seems simpler.
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Truman
4 months ago
Totally agree, one-hot encoding is perfect for days of the week.
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Earleen
5 months ago
One-hot encoding is the way to go for categorical data!
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Twila
5 months ago
Hmm, I'm a bit unsure about this one. The question is asking for the least amount of administrative effort, so I'll need to carefully compare the options to see which one requires the fewest manual steps.
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Bernadine
5 months ago
Hmm, I'm a little unsure about this one. The definitions seem similar, but I think the key is identifying which one best fits the concept of "variable pay." Let me re-read the choices carefully.
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Lea
5 months ago
Remember, the goal is no user downtime. Spreading load and sequential deployment seem crucial. I'd lean towards B and E.
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