Inside the Kepler platform's Automated Data Science Workflow for customer churn reduction
This comprehensive demo video illustrates how can users with no previous machine learning experience can leverage advanced AI and ML classification to accurately predict customer churn.
What you can expect:
Step inside the Kepler platform and get a succinct overview of a telecom use case from an organization looking to improve their churn rate of 4%.
You will learn how the Kepler platform’s advanced workflows function to create, train, and evaluate model performance. From data upload to deployment, in 15 short minutes, see how you can leverage ML to power your churn predictions with precision, with no previous ML experience required.
Note that this churn use case can be adapted to any industry facing retention challenges.
