Rossmann is one of the largest drug store chains in Europe with around 56,200 employees and more than 4000 stores across Europe. In 2019 Rossmann had more than €10 billion turnover in Germany, Poland, Hungary, the Czech Republic, Turkey, Albania, Kosovo and Spain.
The aim of this preoject is to perform exploratory anliysis on the rossmann store sales data. based on the exploration we aim to build an end to end model that can predict sales for rossmann stores.
For this project we have used kaggle dataset found here https://www.kaggle.com/c/rossmann-store-sales/data
- .dvc
- Contains the the implemntation od data version control output which is the result of our training dataset that passes through the DVC.
- Notebook
- Includes notebooks for basic exploratory analysis
- mlruns
- Includes the result of mlflow model tracking traking
- Pages
- Includes streamlit pages implementation
- Scripts
- contains python implemntation for data processing and modeling
- Tests
- Contains test files for the components in the script
- Procfile and setup.sh are configuration for streamlit deployment
https://rossmann-sales-forecast.herokuapp.com/