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?
A . Linear regression
B . Classification
C . Clustering
D . Reinforcement learning
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) C answers that need to be predicted C 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?