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Leulassaminew/flutter-app-for-softdrink-sales-prediction-using-XGBoost-regressor

Domaine:

socioeconomic

Type de record:

modelsoftware
Créateur:
Leu
Hôte:
Soft drink sales prediction in specific areas in ethiopia and will be used to calculate route to market strategies # flutter app for soft drink sales prediction using XGBoost Regressor ## Fine tuned XGBoost regressor This app is used to predict sales in specific areas in Ethiopia and then used to calculate best route to market decisions. Also used to allocate resources and estimate demand for production. Specifically built to predict sales for - Coca-Cola - Sprite - Fanta ## Model Deployment Model deployed to railway as an API API=api-production-3288.up.rail… ## R2_score 89% ## Parameters to predict sales - City - Latitude - Longitude - Distributor - Brand - Container Type - Size - Price - Pop ## Training_data shape of training data=(6376, 10) The above matrix shows the correlation amongst the parameters