retail-sales-prediction 0.1.0

Python project to predict the sales of retail stores with machine learning

retail-sales-prediction

Python project to predict the sales of retail stores with machine learning. This project is based on the data provided in Kaggle Competition.

Kaggle Link : https://www.kaggle.com/c/favorita-grocery-sales-forecasting/

• Free software: MIT license

• Documentation: https://retail-sales-prediction.readthedocs.io.

Project Environment

We create the project environment using below command.

conda env create -f environment.yml -p ./venv

Update the existing conda environment

conda env update -f environment.yml -p ./venv

Activate the environment

conda activate ./venv

Features

Machine learning pipeline to predict the sale forecasting. This project is the sand box and needs a bit of work to complete it.

Currently it supports below features

• Running the Light GBM Model with fixed training, validation and test sets.

• Two variants of how unit_sales are filled NA. More can be added

• Notebooks with Exploratory data analysis

• Notebooks with Feature engineering and Model Training

• Documentation using Sphnix

TODO

Project Slides

You can view the project slides of my project at using this link

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2019-08-29)

• First release on PyPI.