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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1705
Title: Store sales – time series forecasting in Ecuador using kaggle
Authors: Kien Minh Huy 
Keywords: stores sales;Time series forecasting;Kaggle;Python
Issue Date: 2023
Abstract: 
The article analyzes grocery sales – time series forecasting by using Kaggle which is a dataset applying the Machine Learning method. The study focuses on Favorita Corporation, a prominent Ecuadorian grocer, provided the statistics. Implementing Python, the process will create a framework that more precisely forecasts sales per unit for thousands of products supplied at various Favorita stores. The framework includes an accessible dataset for training containing dates, store and product details, promotions, and sales by unit. By merging and combining the datasets, the model brings out extensive connectivity between them which builds up a time series forecasting for retail sales in Ecuador country.
URI(1): https://epub.vgu.edu.vn/handle/dlibvgu/1705
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Finance & Accounting (FA)

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