This is a time series forecasting problem. In this project, we will predict store sales on data from Corporation Favorita, a large Ecuadorian-based grocery retailer.
Specifically, we are to build a model that more accurately predicts the unit sales for thousands of items sold at different Favorita stores.
The training data includes dates, store, and product information, whether that item was being promoted, as well as the sales numbers. Additional files include supplementary information that may be useful in building your models
Public dataset can be found here
Install the required packages to be able to run the evaluation locally.
You need to have Python3 on your system. Then you can clone this repo and being at the repo's root (root :: repo_name> ...) follow the steps below:
- Windows:
python -m venv venv; venv\Scripts\activate; python -m pip install -q --upgrade pip; python -m pip install -qr requirements.txt- Linux & MacOs:
python3 -m venv venv; source venv/bin/activate; python -m pip install -q --upgrade pip; python -m pip install -qr requirements.txtThe both long command-lines have a same structure, they pipe multiple commands using the symbol ; but you may manually execute them one after another.
- Create the Python's virtual environment that isolates the required libraries of the project to avoid conflicts;
- Activate the Python's virtual environment so that the Python kernel & libraries will be those of the isolated environment;
- Upgrade Pip, the installed libraries/packages manager to have the up-to-date version that will work correctly;
- Install the required libraries/packages listed in the
requirements.txtfile so that it will be allow to import them into the python's scripts and notebooks without any issue.
NB: For MacOs users, please install Xcode if you have an issue.
Contributions, issues, and feature requests are welcome!
To contribute to this project, see the GitHub documentation on creating a pull request.
Give a ⭐️ if you like this project!
© 2023 Ikogho Emmanuel