PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #126
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #126: Real Exam Question with Answer & Explanation
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Question
You are building an ML model to predict trends in the stock market based on a wide range of factors. While exploring the data, you notice that some features have a large range. You want to ensure that the features with the largest magnitude don't overfit the model. What should you do?
Options
- AStandardize the data by transforming it with a logarithmic function.
- BApply a principal component analysis (PCA) to minimize the effect of any particular feature.
- CUse a binning strategy to replace the magnitude of each feature with the appropriate bin number.
- DNormalize the data by scaling it to have values between 0 and 1.
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