MLS-C01 · Question #66
A Machine Learning Specialist is working with a large company to leverage machine learning within its products. The company wants to group its customers into categories based on which customers will…
The correct answer is B. Classification. The goal of classification is to determine to which class or category a data point (customer in our case) belongs to. For classification problems, data scientists would use historical data with predefined target variables AKA labels (churner/non-churner) ?answers that need to…
Question
A Machine Learning Specialist is working with a large company to leverage machine learning within its products. The company wants to group its customers into categories based on which customers will and will not churn within the next 6 months. The company has labeled the data available to the Specialist. Which machine learning model type should the Specialist use to accomplish this task?
Options
- ALinear regression
- BClassification
- CClustering
- DReinforcement learning
How the community answered
(33 responses)- A9% (3)
- B88% (29)
- C3% (1)
Explanation
The goal of classification is to determine to which class or category a data point (customer in our case) belongs to. For classification problems, data scientists would use historical data with predefined target variables AKA labels (churner/non-churner) ?answers that need to be predicted ?to train an algorithm. With classification, businesses can answer the following questions: Will this customer churn or not? Will a customer renew their subscription? Will a user downgrade a pricing plan? Are there any signs of unusual customer behavior?
Topics
Community Discussion
No community discussion yet for this question.