Metadata-Version: 2.1
Name: ds-sale-prediction-package
Version: 0.1.5
Summary: This package provides a comprehensive toolkit for data preparation,        feature extraction, model validation, hyperparameter optimization, and results        visualization created for the Kaggle competition Predict Future Sales. The        competition's objective is to predict total sales for each product and store        in the upcoming month.
Author: Aliona Hrynkevich
License: MIT
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn>=1.5
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: lightgbm
Requires-Dist: hyperopt
Requires-Dist: shap

# ds_sales_prediction_package

This package provides tools for data preparation, feature engineering, and model validation for sales prediction project.

## Installation
```bash
pip install ds_sales_prediction_package
