Asked at 1 company1Supervised LearningUnsupervised LearningFeature Engineering
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Problem
Scenario
You are discussing core machine learning approaches and want to explain when you would use labeled data versus unlabeled data.
Question
Explain the difference between supervised and unsupervised learning.
Example Dataset
size·120K customer records, 28 featurestarget·Binary churn label for supervised use, no label for unsupervised usefeatures·Usage, tenure, billing, support, and categorical account metadatamissing_data·6% missing in support and billing fieldsclass_balance·18% churn, 82% non-churn
Problem
Scenario
You are discussing core machine learning approaches and want to explain when you would use labeled data versus unlabeled data.
Question
Explain the difference between supervised and unsupervised learning.
Example Dataset
size·120K customer records, 28 featurestarget·Binary churn label for supervised use, no label for unsupervised usefeatures·Usage, tenure, billing, support, and categorical account metadatamissing_data·6% missing in support and billing fieldsclass_balance·18% churn, 82% non-churn
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