TODO:
- Integrate grid search cv to choose best model and write those predictions out
- Improve readability of code
- delete superfluous files This project utilizes data from the Kaggle competition posted by Rossman Stores to generate predictions for ~1100 stores.
I practiced model building in both R and Python though the predictions from main.py
are used in optim-app
on the sales predictions page.
The app is no longer deployed but integrated into optim-app
.