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Exam AWS Certified Machine Learning - Specialty topic 1 question 41 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 41
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A Machine Learning Specialist is building a prediction model for a large number of features using linear models, such as linear regression and logistic regression.
During exploratory data analysis, the Specialist observes that many features are highly correlated with each other. This may make the model unstable.
What should be done to reduce the impact of having such a large number of features?

  • A. Perform one-hot encoding on highly correlated features.
  • B. Use matrix multiplication on highly correlated features.
  • C. Create a new feature space using principal component analysis (PCA)
  • D. Apply the Pearson correlation coefficient.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by cybe001 at Jan. 12, 2020, 10:27 p.m.
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cybe001
Highly Voted 2 years, 7 months ago
C is correct
upvoted 19 times
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syu31svc
Highly Voted 2 years, 6 months ago
You want to reduce features/dimension so PCA is the answer
upvoted 5 times
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kaike_reis
Most Recent 9 months ago
Selected Answer: C
C is the way
upvoted 3 times
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FloKo
9 months, 1 week ago
Selected Answer: C
C is correct. D could be correct if the correlation is used to omit features.
upvoted 1 times
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Valcilio
1 year, 1 month ago
Selected Answer: C
PCA and T-SNE are for solving the curse of dimensionality mencioned here!
upvoted 1 times
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DS2021
1 year, 3 months ago
I assume PCA is for unsupervised learning!...and the scenario in the question looks like supervised learning
upvoted 1 times
GiyeonShin
1 year, 2 months ago
data (x, y) --> (PCA) --> preprocessed data(x', y) --> learning why not for supervised learning?
upvoted 1 times
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BethChen
1 year, 4 months ago
Selected Answer: C
Tricky. The sentence 'many features are highly correlated with each other' is no use.
upvoted 1 times
kaike_reis
9 months ago
It's. PCA removes such correlation.
upvoted 1 times
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Shailendraa
1 year, 7 months ago
Answer C: Read through this carefully "What should be done to reduce the impact of having such a large number of features?" only answer comes in mind PCA
upvoted 1 times
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Urban_Life
2 years, 6 months ago
Of course, it's PCA.
upvoted 1 times
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C10ud9
2 years, 7 months ago
PCA is the solution. So, answer is C
upvoted 2 times
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