Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.

碩士 === 國立東華大學 === 應用數學系 === 105 === Kaggle is a well-known and very active machine learning analysis competition platform. In this study, we analyze the formerly featured competition, Grupo Bimbo inventory demand and Rossmann Store sales. Built upon XGBoost, our fitted model has achieved top 10% amo...

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Bibliographic Details
Main Authors:	TZE-HSUAN LIN, 林子軒
Other Authors:	Chen-Hai Tsao
Format:	Others
Published:	2017
Online Access:	http://ndltd.ncl.edu.tw/handle/06394235884337178801

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spelling	ndltd-TW-105NDHU55070052017-11-10T04:25:29Z http://ndltd.ncl.edu.tw/handle/06394235884337178801 Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions. Kaggle 資料學習 - Grupo Bimbo inventory demand 與 Rossmann Store sales 資料分析競賽 TZE-HSUAN LIN 林子軒碩士國立東華大學應用數學系 105 Kaggle is a well-known and very active machine learning analysis competition platform. In this study, we analyze the formerly featured competition, Grupo Bimbo inventory demand and Rossmann Store sales. Built upon XGBoost, our fitted model has achieved top 10% among all competing machines compared with the private leaderboard scores. The preparation and data import, variable selection as well as feature manufacturing all have marked impact on the resultant performance of the fitted model. We will discuss these issues and share our experience in Kaggling. More at https://github.com/f496328mm Chen-Hai Tsao 曹振海 2017 學位論文 ; thesis 37
collection	NDLTD
format	Others
sources	NDLTD
description	碩士 === 國立東華大學 === 應用數學系 === 105 === Kaggle is a well-known and very active machine learning analysis competition platform. In this study, we analyze the formerly featured competition, Grupo Bimbo inventory demand and Rossmann Store sales. Built upon XGBoost, our fitted model has achieved top 10% among all competing machines compared with the private leaderboard scores. The preparation and data import, variable selection as well as feature manufacturing all have marked impact on the resultant performance of the fitted model. We will discuss these issues and share our experience in Kaggling. More at https://github.com/f496328mm
author2	Chen-Hai Tsao
author_facet	Chen-Hai Tsao TZE-HSUAN LIN 林子軒
author	TZE-HSUAN LIN 林子軒
spellingShingle	TZE-HSUAN LIN 林子軒 Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.
author_sort	TZE-HSUAN LIN
title	Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.
title_short	Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.
title_full	Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.
title_fullStr	Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.
title_full_unstemmed	Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.
title_sort	learning from kaggling : analyses of grupo bimbo inventory demand and rossmann store sales competitions.
publishDate	2017
url	http://ndltd.ncl.edu.tw/handle/06394235884337178801
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Learning from Kaggling : Analyses of Grupo Bimbo inventory demand and Rossmann Store sales Competitions.

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