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Hiroshi Yoshihara

a.k.a. RabotniKuma, 吉原浩之

  • Kaggle Competitions Grandmaster
  • Machine learning engineer @ Aillis Inc.
  • Ph.D. candidate @ Dept. of Health Informatics, Kyoto University
  • Researcher @ Dept. of Health Economics and Outcomes Research, the University of Tokyo

Links | LinkedIn | Twitter | Kaggle | Instagram | Portfolio |

RabotniKuma's profile

Hiroshechka Y's Projects

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ネットからスクレイピングした情報をE-mailでお知らせするプロジェクト

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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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Flexible Feature Engineering & Exploration Library using GPUs and Optuna.

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