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http://hdl.handle.net/10609/74565
Title: Predicción de ventas de comestibles corporación favorita
Author: Kreplak, Gabriel
Director: Subirats Maté, Laia
Tutor: Sancho Vinuesa, Teresa  
Pujol Jover, Maria  
Others: Universitat Oberta de Catalunya
Keywords: predictive models
data analysis
business intelligence
sales
Big data -- TFM
Issue Date: 22-Jan-2018
Publisher: Universitat Oberta de Catalunya
Abstract: The goal of this final grade project is to earn a relevant score in the Kaggle¿s competition: Corporación Favorita Grocery Sales Forecasting through building a state of the art predictive model aimed to forecast future sales. Corporación Favorita has challenged the Kaggle community to build a model that more accurately forecasts product sales. They currently rely on subjective forecasting methods with very little data to back them up and very little automation to execute plans. They¿re excited to see how machine learning could better ensure they please customers by having just enough of the right products at the right time.
Language: Spanish
URI: http://hdl.handle.net/10609/74565
Appears in Collections:Bachelor thesis, research projects, etc.

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