https://github.com/benedekrozemberczki/societe-general

Solution for ENS - Societe Generale Challenge (1st place).
https://github.com/benedekrozemberczki/societe-general

binary-classification boosting classification-tree competition data-leakage differential-privacy ensembles forecasting gradient-boosting hacking machine-learning machine-learning-competition oild-production-forecast panel-data prediction societe-general supervised-learning winning-entry xgboost

Last synced: about 12 hours ago
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Solution for ENS - Societe Generale Challenge (1st place).

• Host: GitHub
• URL: https://github.com/benedekrozemberczki/societe-general
• Owner: benedekrozemberczki
• Created: 2017-06-22T17:42:02.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-12-19T21:35:41.000Z (almost 3 years ago)
• Last Synced: 2024-05-02T00:56:09.891Z (7 months ago)
• Topics: binary-classification, boosting, classification-tree, competition, data-leakage, differential-privacy, ensembles, forecasting, gradient-boosting, hacking, machine-learning, machine-learning-competition, oild-production-forecast, panel-data, prediction, societe-general, supervised-learning, winning-entry, xgboost
• Language: R
• Homepage: https://challengedata.ens.fr/en/challenge/25/predict_the_crude_oil_production_trend.html
• Size: 10.7 KB
• Stars: 5
• Watchers: 4
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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Winning solution for Societe Generale predict the crude oil production trend challenge.