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https://github.com/ekagra-ranjan/GS-Quantify-17
GS-Quantify' 17, Goldman Sachs Data Science Competition
https://github.com/ekagra-ranjan/GS-Quantify-17
boosting-algorithm cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection goldmann-sachs gradient-boosting-machine gs-quantify gsquantify linear-regression sklearn xgb-classifier xgboost
Last synced: 3 months ago
JSON representation
GS-Quantify' 17, Goldman Sachs Data Science Competition
- Host: GitHub
- URL: https://github.com/ekagra-ranjan/GS-Quantify-17
- Owner: ekagra-ranjan
- Created: 2018-07-26T08:12:21.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-21T18:19:09.000Z (over 4 years ago)
- Last Synced: 2024-04-23T10:21:08.431Z (7 months ago)
- Topics: boosting-algorithm, cross-validation, data-science, data-science-challenges, data-science-competition, ensemble, feature-engineering, feature-extraction, feature-selection, goldmann-sachs, gradient-boosting-machine, gs-quantify, gsquantify, linear-regression, sklearn, xgb-classifier, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 891 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0