
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
Customer churn refers to the situation when a customer ends their relationship with a company, and it’s a costly problem. Loss of customers impacts sales of a company. This model can be used by companies to predict the probability of a customer leaving the company. The model is trained on the data of a telecommunications company Telco which is concerned about the number of customers leaving their landline business for cable competitors. Imagine that you’re an analyst at this company and you have to find out who is leaving.
Key Data
By | Cloudwick |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
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Usage Information
Additional Resources
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Support Information
Churn Prediction
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