Machine Learning Business Case Project
This an open source project for the Machine Learning Business Case course with the Wavestone data-lab 👨🔬.
Our client is handling around 3 000 stores in 7 different countries and wants to forecast up to 6-weeks of sales given historical data and various features.
The approach taken for modeling is quite simple, since we apply a Random Forest Regressor to the processed and encoded features of the base dataset. 🌳
This app is maintained by a team of 5 contributors 💪. You can learn more and check out the source code on Github.
A small web application has been made with Streamlit to visualize the client's data and forecasts.
The application can be run locally in the web_application folder by running:
pip install -r requirements.txt
streamlit run main.py
A lighter version of the app is also available here 🔥