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store-sales-forecasting-model's Introduction

Background

Difficult ML problem involving Multivariate Time Series. Forecasting grocery sales for massive grocery chain in South America.

Methodology

Used LGBM over each separate store/product family for a total of 1783 models.

Score

Ranked 159 out of 803 with a RMSLE score of 0.4335

Notes

Removed training data because github doesn't allow >100MB files without workaround.

Competition found here: https://www.kaggle.com/competitions/store-sales-time-series-forecasting

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