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business-sales-forecast-models
Bhuvi18/business-sales-forecast-models
business-sales-forecast-models is a machine learning model from Bhuvi18. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for scikit-learn.
This repository contains the trained machine learning model artifacts used by the Business Sales & Revenue Forecasting System.
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Public
Updated Aug 27, 2026
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At a glance
- Library
- scikit-learn
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- 17c2eb54
Model card
From the Hugging Face model README
Business Sales & Revenue Forecasting — ML Models
This repository contains the trained machine learning model artifacts used by the Business Sales & Revenue Forecasting System.
The models are used by the Flask backend to generate weekly sales forecasts for stores and departments.
Project
Business Sales & Revenue Forecasting System
The complete application combines:
- React frontend
- Flask backend
- Machine learning forecasting
- Cold-start forecasting
- Store and department master data
- Analytics
- Forecast history
The application supports forecasting for both established and newly introduced business entities.
Model Files
| File | Purpose |
|---|---|
xgboost_model.joblib | XGBoost regression model used for sales forecasting |
random_forest_model.joblib | Random Forest regression model |
linear_regression_model.joblib | Linear Regression baseline model |
ann_model.joblib | Artificial Neural Network regression model |
ann_scaler.joblib | StandardScaler used to preprocess ANN inputs |
Forecasting Approach
The system uses different strategies depending on data availability.
1. Historical ML Forecasting
For an existing store and department with sufficient historical sales:
Historical Sales
↓
Feature Engineering
↓
Lag Features
Rolling Features
Calendar Features
Store/Department Features
↓
Machine Learning Model
↓
Weekly Sales Forecast
- Library
- scikit-learn
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026