kaggle_ndsb2017:Kaggle数据科学碗2017

上传者: 42129300 | 上传时间: 2022-11-26 21:51:05 | 文件大小: 65KB | 文件类型: ZIP
Kaggle National Datascience Bowl 2017第二名 这是我在Kaggle.com主办的第二名解决方案中我的源代码。 有关该方法的文档,请访问: ://juliandewit.github.io/kaggle-ndsb2017/ 请注意,这是我的代码部分。 我的队友Daniel Hammack的工作可以在以下位置找到: : 依赖关系和数据 该解决方案是使用Keras和Windows 64位上的tensorflow后端构建的。 接下来,我使用了scikit-learn,pydicom,simpleitk,beatifulsoup,opencv和XgBoost。

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