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游筑鈞
2019 中華郵政大數據競賽(最佳應用獎)
2019 中華郵政大數據競賽(最佳應用獎)
2019 中華郵政大數據競賽(最佳應用獎)
By
游筑鈞
專任研究助理 @ 中央研究院統計科學研究所
・
Taipei, Taiwan
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提案內容 -- 由主辦方提供 2018 整年度的四個郵務系統資料集,進行資料清理與彙整,最後以八千萬筆資料進行分析。我們團隊利用羅吉斯回歸模型預測郵 件準時投遞機率,同時提供相關的配套措施與解決方法,並且評估此提案所產生的效益及實際應用的可行性,以期能協助中華郵政公司提高投遞準時率。最後以此提案,在 400 支隊伍中脫穎而出,一路晉級複賽與決賽,最後進入前 10名得到最佳應用獎 。 Link:https://drive.google.com/drive/folders/1qpfguFrkXzm8KfyvwmYZbOY2On1Lvu2v
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游筑鈞
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Published: Apr 18th 2021
25
6
0
Big Data
Machine Learning
prediction model
logistic regression
Modeling
statistical analysis
SAS
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