Data Science in Action - Building a Predictive Churn Model
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This course guides learners through building a predictive customer churn model, from preparing and encoding data to developing, evaluating, deploying, and monitoring models.
Syllabus
Week 1: Case Study Introduction
Week 2: Prepare and Encode Data
Week 3: Develop, Evaluate, and Deploy Models
Week 4: Monitor Models and Improve Performance
Week 5: Final Exam
Taught by
Stuart Clarke