├── .github └── workflows │ └── update.yml ├── Kaggle-Competition ├── PS-S3-Ep23 │ ├── 12th-place-solution.ipynb │ ├── 2th-place-solution.ipynb │ ├── Advanced-model-stacking-trick.ipynb │ ├── Easy-to-maintain-code.ipynb │ ├── README.md │ ├── Software Defect Prediction │ │ ├── about JM1 Dataset.txt │ │ ├── jm1.arff │ │ └── jm1.csv │ └── playground-series-s3e23 │ │ ├── sample_submission.csv │ │ ├── test.csv │ │ └── train.csv └── PS-S3-Ep25 │ ├── 1th-place-solution.ipynb │ ├── README.md │ └── playground-series-s3e25 │ ├── sample_submission.csv │ ├── test.csv │ └── train.csv ├── PDF ├── 交叉检验.pdf ├── 准备环境.pdf ├── 可重复代码和模型方法.pdf ├── 图像分类和分割方法.pdf ├── 处理分类变量.pdf ├── 文本分类或回归方法.pdf ├── 无监督和有监督学习.pdf ├── 特征工程.pdf ├── 特征选择.pdf ├── 组合和堆叠方法.pdf ├── 组织机器学习项目.pdf ├── 评估指标.pdf └── 超参数优化.pdf ├── README.md ├── docs ├── figures │ ├── AAAMLP_page101_image.png │ ├── AAAMLP_page102_image.png │ ├── AAAMLP_page119_image.png │ ├── AAAMLP_page11_image.png │ ├── AAAMLP_page12_image.png │ ├── 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AAAMLP_page249_image.png │ ├── AAAMLP_page24_image.png │ ├── AAAMLP_page25_image.png │ ├── AAAMLP_page26_image.png │ ├── AAAMLP_page273_image.png │ ├── AAAMLP_page280_image.png │ ├── AAAMLP_page30_image.png │ ├── AAAMLP_page39_image.png │ ├── AAAMLP_page43_image.png │ ├── AAAMLP_page44_image.png │ ├── AAAMLP_page47_image.png │ ├── AAAMLP_page48_image.png │ ├── AAAMLP_page57_image.png │ ├── AAAMLP_page58_image.png │ ├── AAAMLP_page59_image.png │ ├── AAAMLP_page6_image.png │ ├── AAAMLP_page74_image.png │ ├── AAAMLP_page74_image_1.png │ ├── AAAMLP_page85_image.png │ ├── AAAMLP_page86_image.png │ ├── AAAMLP_page8_image.png │ ├── AAAMLP_page9_image.png │ └── AAAMLP_page9_image_1.png ├── index.md ├── javascripts │ └── katex.js ├── 交叉检验.md ├── 准备环境.md ├── 可重复代码和模型方法.md ├── 图像分类和分割方法.md ├── 处理分类变量.md ├── 文本分类或回归方法.md ├── 无监督和有监督学习.md ├── 特征工程.md ├── 特征选择.md ├── 组合和堆叠方法.md ├── 组织机器学习项目.md ├── 评估指标.md └── 超参数优化.md ├── mkdocs.yml └── requirements.txt /.github/workflows/update.yml: 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