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rossmann-store-sales

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This project focuses on predicting daily sales for Rossmann stores using historical data. The workflow covers end-to-end data analysis, feature engineering, and model building to deliver accurate forecasts.

  • Updated Oct 30, 2025
  • Jupyter Notebook

This project forecasts daily sales for Rossmann stores using historical data, store metadata, and engineered features. We use the Random Forest Regression & XGBoost regression model to capture complex patterns and improve predictive accuracy.

  • Updated Jun 30, 2025
  • Jupyter Notebook

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