Rosmann Sales

The finance team at Rossmann Pharmaceuticals wants to forecast sales in all their stores across several cities six weeks ahead of time. This project is an aimed to provide that solution \

The folders in this project are
data- contains dvc files pointing to our large data sets and a small file for testing
models- contains pickle files of our models
notebooks- contains notebooks with different parts of the project.
scripts-contain helper scripts and classes.

The notebooks function

• DataExploration- Explores the data and relationships between its features and tries to gain insight
• PreprocessingAndPipelineModeling- contain the implementation of feature engineering, processing pipeline creation and implementation of linear regression and random forest regression models.
• DeepLearning- contains the implementation of deep learning forcasts considering the sales data as historical time data

Link to deployed prediction app here [https://share.streamlit.io/samec137/rosmannsalesdashboard/main/app.py](https://share.streamlit.io/samec137/rosmannsalesdashboard/main/app.py)

If data can not be retrieved the data can be found [here] (https://www.kaggle.com/c/rossmann-store-sales/data)