Mism 258 ((exclusive)) May 2026

# MISM 258 standard ETL snippet import pandas as pd from geopy.distance import geodesic def calculate_distance(row): origin = (row['origin_lat'], row['origin_lon']) dest = (row['dest_lat'], row['dest_lon']) return geodesic(origin, dest).km

df['distance_km'] = df.apply(calculate_distance, axis=1) mism 258

The Random Forest model significantly improves recall —identifying 78% of actual late shipments versus 65% for logistic regression. This is critical for proactive customer notification. # MISM 258 standard ETL snippet import pandas