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The_18th_Mathematical_Modeling_Competition_D

2021年第18届研究生数学建模比赛D题完整处理代码 压缩包中包括每题的代码,以及对比实验的方法。

每个文件都对应其方法,Feat_seled_predision.ipynb是利用随机森林的方法进行特征提取。

p2中Linear_Regression.ipynb是线性回归方法,RandomFR.ipynb是随机森林方法。

xgboost_regression.ipynb是利用xgboost的方法。

Multivariable_regression.ipynb是利用的神经网络的方法。

P3中基本与P2中一致。

P4是利用matliab与SPSS做的。

python文件中所也有所对应的EDA与可视化。

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