🧪 06 — Exercises: Feature Engineering

Dataset

customers = pd.DataFrame({
    "age": [22, 35, 42, 29],
    "city": ["Delhi", "Mumbai", "Delhi", "Pune"],
    "segment": ["Basic", "Premium", "Premium", "Basic"],
    "signup_date": ["2024-01-01", "2023-06-10", "2022-03-05", "2025-01-20"],
    "monthly_spend": [500, 2500, 3200, 700],
    "churn": [1, 0, 0, 1]
})

Tasks:

• create log_monthly_spend
• create customer tenure days
• one-hot encode city and segment
• build a ColumnTransformer
• train a Logistic Regression pipeline
• explain leakage risks

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➡️ Model Evaluation