Create utils/feature_engineering.py

utils/feature_engineering.py

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+# utils/feature_engineering.py
+import pandas as pd
+import numpy as np
+
+def feature_engineering(df):
+    df['hour_of_day'] = pd.to_datetime(df['timestamp']).dt.hour
+    df['day_of_week'] = pd.to_datetime(df['timestamp']).dt.dayofweek
+    df['amount_times_hour'] = df['amount'] * df['hour_of_day']
+    df['log_amount'] = df['amount'].apply(lambda x: 0 if x == 0 else np.log(x + 1))
+    df = df.drop(['timestamp', 'amount'], axis=1)
+    return df