菜菜的sklearn课堂(完整版).rar

[{"title":"（53个子文件94.13MB）菜菜的sklearn课堂(完整版).rar","children":[{"title":"菜菜的sklearn课堂(完整版)","children":[{"title":"09回归大家族：线性回归，岭回归，Lasso与多项式回归","children":[{"title":"线性回归大家族fullversion.pdf <span style='color:#111;'>4.98MB</span>","children":null,"spread":false},{"title":"线性回归-代码.ipynb <span style='color:#111;'>473.35KB</span>","children":null,"spread":false}],"spread":true},{"title":"08支持向量机下","children":[{"title":"SVM2-案例部分源码.ipynb <span style='color:#111;'>373.03KB</span>","children":null,"spread":false},{"title":"SVM数据","children":[{"title":"cityll.csv <span style='color:#111;'>4.11KB</span>","children":null,"spread":false},{"title":"weather.csv <span style='color:#111;'>15.15MB</span>","children":null,"spread":false},{"title":"Cityclimate.csv <span style='color:#111;'>3.69KB</span>","children":null,"spread":false},{"title":"weatherAUS5000.csv <span style='color:#111;'>538.55KB</span>","children":null,"spread":false},{"title":"samplecity.csv <span 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style='color:#111;'>7.21MB</span>","children":null,"spread":false},{"title":"逻辑回归fullversion.xml <span style='color:#111;'>31.19KB</span>","children":null,"spread":false},{"title":"评分卡模型.ipynb <span style='color:#111;'>265.60KB</span>","children":null,"spread":false},{"title":"ScoreData.csv <span style='color:#111;'>1.83KB</span>","children":null,"spread":false},{"title":"model_data.csv <span style='color:#111;'>20.54MB</span>","children":null,"spread":false},{"title":"逻辑回归.ipynb <span style='color:#111;'>55.08KB</span>","children":null,"spread":false}],"spread":true},{"title":"011XGBoost","children":[{"title":"XGBoostfullversion.pdf <span style='color:#111;'>5.31MB</span>","children":null,"spread":false},{"title":"xgboostcode.ipynb <span style='color:#111;'>611.80KB</span>","children":null,"spread":false}],"spread":true},{"title":"07支持向量机上","children":[{"title":"Record.ipynb <span style='color:#111;'>30.92KB</span>","children":null,"spread":false},{"title":"SVM(上)fullversion.pdf <span 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