End-to-end churn prediction case study for retail banking, combining a leakage-safe ML pipeline, model comparison, and threshold-based targeting with scenario-driven revenue impact simulation to translate predictions into actionable retention decisions.
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Add a readme section to simulate revenue impacts under different scenarios
54b8628View on GitHubAdd a readme section to simulate revenue impacts under different scenarios
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