MLS-C01 · Question #373
A machine learning (ML) specialist collected daily product usage data for a group of customers. The ML specialist appended customer metadata such as age and gender from an external data source. The ML
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Question
A machine learning (ML) specialist collected daily product usage data for a group of customers. The ML specialist appended customer metadata such as age and gender from an external data source. The ML specialist wants to understand product usage patterns for each day of the week for customers in specific age groups. The ML specialist creates two categorical features named dayofweek and binned_age, respectively. Which approach should the ML specialist use discover the relationship between the two new categorical features?
Options
- ACreate a scatterplot for day_of_week and binned_age.
- BCreate crosstabs for day_of_week and binned_age.
- CCreate word clouds for day_of_week and binned_age.
- DCreate a boxplot for day_of_week and binned_age.
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