Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/63685
Title: | Desarrollo de un recomendador de productos basado en Extreme Gradient Boosting |
Author: | López Serrano, Pablo |
Director: | Kanaan-Izquierdo, Samir |
Tutor: | Ventura, Carles |
Others: | Universitat Oberta de Catalunya |
Abstract: | In this final project has been developed a product classifier algorithm using Extreme Gradient Boosting technique. Santander Product Recommendation is the problem to be solved selected from Kaggle platform. In this problem the competitor has to predict the seven products with higher probability to be purchased in the future. The purpose of this project is to resolve a real predictive problem with higher data and apply one of the most success predictive method in the competitions of Machine Learning. Further, at the end of the resolution, the author will compare the results with the best users of the competition. |
Keywords: | gradient boosting prediction recommender |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 31-May-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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Enlaces de archivos csv.txt | 335 B | Text | View/Open | |
CodigoSubmissionsMix.R | 2,26 kB | Unknown | View/Open | |
CodigoFinalSubmission.R | 2,52 kB | Unknown | View/Open | |
Codigo.R | 9,72 kB | Unknown | View/Open | |
plopezseTFM0617memoria.pdf | Memoria del trabajo fin de máster | 1,96 MB | Adobe PDF | View/Open |
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