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NEW QUESTION: 1
A. Option B
B. Option C
C. Option A
D. Option D
Answer: C
NEW QUESTION: 2
You need to implement a feature engineering strategy for the crowd sentiment local models.
What should you do?
A. Apply a Pearson correlation coefficient.
B. Apply an analysis of variance (ANOVA).
C. Apply a linear discriminant analysis.
D. Apply a Spearman correlation coefficient.
Answer: C
Explanation:
Explanation
The linear discriminant analysis method works only on continuous variables, not categorical or ordinal variables.
Linear discriminant analysis is similar to analysis of variance (ANOVA) in that it works by comparing the means of the variables.
Scenario:
Data scientists must build notebooks in a local environment using automatic feature engineering and model building in machine learning pipelines.
Experiments for local crowd sentiment models must combine local penalty detection data.
All shared features for local models are continuous variables.
NEW QUESTION: 3
DRAG DROP
Answer:
Explanation: