🧾 01 — Project Brief

Problem

Predict whether a customer will churn using customer profile and usage data.

Business Goal

Help the company identify at-risk customers early so retention teams can act.

Target

churn: 1 = churned, 0 = retained

Expected Deliverables

• cleaned dataset
• EDA summary
• feature engineering notes
• trained baseline and improved model
• evaluation report
• final recommendation

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Success Metric

Primary metric: recall for churn class.

Why: missing a churn customer may be more expensive than contacting a retained customer.

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➡️ 02-eda-and-cleaning