AmirhosseinHonardoust/Coffee-Shop-Profit-Predictor

Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.

27
/ 100
Experimental

The workflow combines SQLite for feature engineering (demand adjustment, price-income interactions, competition-normalized metrics) with ElasticNet regression in scikit-learn, producing interpretable profit predictions alongside diagnostic visualizations. Outputs include model coefficients, residual analysis, and ranked feature importance to guide site-selection decisions by quantifying the impact of rent, local events, foot traffic, and competition dynamics on monthly profitability.

No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 13 / 25
Community 0 / 25

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Stars

43

Forks

Language

Python

License

MIT

Last pushed

Oct 23, 2025

Commits (30d)

0

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