Food Delivery Analysis - Complete ML Solution

✅ PROJECT COMPLETE - All 14 Days Delivered

End-to-end machine learning solution for predicting food delivery times with 94.77% accuracy (R² = 0.9477).

Key Achievement

99.51% of test predictions within ±5 minutes of actual delivery time | 11,399 predictions generated

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Quick Stats

Metric	Value
Records	56,556 (45,157 train + 11,399 test)
Features	37 engineered features
Model	Random Forest Regressor
Accuracy	R² = 0.9477 (94.77%)
Error	MAE = 1.70 min
Prediction Accuracy	99.51% within ±5 min
Queries	23 SQL, 22 CSV exports
Scripts	8 production-ready
Visualizations	6 charts

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Run Full Pipeline

# Data processing
python python/01_explore_data.py
python python/02_data_cleaning.py
python python/03_load_to_sql.py

# SQL Analytics  
python python/04_run_sql_analytics.py

# ML Pipeline
python python/05_eda_analysis.py
python python/06_ml_model_training.py
python python/07_predictions.py
python python/08_model_evaluation.py

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Project Contents

📁 python/ - 8 production scripts 📁 sql/ - 23 queries, 22 exports 📁 data/ - Raw, cleaned, SQL data 📁 ml_models/ - Trained models + predictions 📁 docs/ - Reports, visualizations, guides

Total Files: 100+ | Total Size: ~150 MB

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Model Performance

Random Forest (Best Model)

• R² Score: 0.9477
• RMSE: 2.08 minutes
• MAE: 1.70 minutes
• Accuracy: 99.51% within ±5 min

Top Features

1. delivery_speed (94.98%)
2. delivery_distance_km (0.81%)
3. Delivery_person_Age (0.59%)
4. Weatherconditions (0.44%)
5. Vehicle_condition (0.43%)

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Key Deliverables

✅ Data processing pipeline (37 engineered features) ✅ SQLite database (56,556 records) ✅ 23 SQL queries with business analytics ✅ EDA with 4 visualizations ✅ 3 trained ML models ✅ 11,399 test predictions ✅ Model evaluation & diagnostics ✅ 6-page Tableau dashboard design ✅ Complete documentation

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Documentation

📖 PROJECT_SUMMARY.md - Complete project overview (all 14 days) 📖 TABLEAU_DASHBOARD_GUIDE.md - Dashboard blueprint + implementation 📖 DELIVERABLES.md - Complete file listing & specifications

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Next Steps

🎯 Build Tableau Dashboard using:

• 22 SQL query CSV files (ready)
• ML predictions (ready)
• 6 pre-designed pages (see guide)
• Implementation steps provided

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Status: ✅ Production-Ready Last Updated: December 14, 2025 Duration: 14 Days Complete