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python-Machine-learning-master

于 2019-04-17 发布
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下载积分: 1 下载次数: 1

代码说明:

说明:  一个机器学习的python文件,里面拥有各种机器学习方法,可以供大家参考(A Python file for machine learning, which has various machine learning methods, can be used for your reference.)

文件列表:

python-Machine-learning-master, 0 , 2019-03-18
python-Machine-learning-master\PCA, 0 , 2019-03-07
python-Machine-learning-master\PCA\README, 60 , 2019-03-07
__MACOSX, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\PCA, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\PCA\._README, 212 , 2019-03-07
python-Machine-learning-master\PCA\PCA.py, 1338 , 2019-03-07
__MACOSX\python-Machine-learning-master\PCA\._PCA.py, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\._PCA, 212 , 2019-03-07
python-Machine-learning-master\K-Means, 0 , 2019-03-07
python-Machine-learning-master\K-Means\city.txt, 2294 , 2019-03-07
__MACOSX\python-Machine-learning-master\K-Means, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\K-Means\._city.txt, 212 , 2019-03-07
python-Machine-learning-master\K-Means\README, 257 , 2019-03-07
__MACOSX\python-Machine-learning-master\K-Means\._README, 212 , 2019-03-07
python-Machine-learning-master\K-Means\K-Means.py, 3492 , 2019-03-07
__MACOSX\python-Machine-learning-master\K-Means\._K-Means.py, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\._K-Means, 212 , 2019-03-07
python-Machine-learning-master\KNN, 0 , 2019-03-07
python-Machine-learning-master\KNN\README, 527 , 2019-03-07
__MACOSX\python-Machine-learning-master\KNN, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\KNN\._README, 212 , 2019-03-07
python-Machine-learning-master\KNN\KNN.py, 486 , 2019-03-07
__MACOSX\python-Machine-learning-master\KNN\._KNN.py, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\._KNN, 212 , 2019-03-07
python-Machine-learning-master\.DS_Store, 6148 , 2019-03-18
__MACOSX\python-Machine-learning-master\._.DS_Store, 120 , 2019-03-18
python-Machine-learning-master\Xgboost, 0 , 2019-03-18
python-Machine-learning-master\Xgboost\.DS_Store, 6148 , 2019-03-18
__MACOSX\python-Machine-learning-master\Xgboost, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\Xgboost\._.DS_Store, 120 , 2019-03-18
python-Machine-learning-master\Xgboost\code, 0 , 2019-03-07
python-Machine-learning-master\Xgboost\code\ofoFeature.ipynb, 33515 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\code, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\Xgboost\code\._ofoFeature.ipynb, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\code\Xgboost.ipynb, 13868617 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\code\._Xgboost.ipynb, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\._code, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\README.md, 1286 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\._README.md, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\Data, 0 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_preprocessed, 0 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_preprocessed\ProcessDataSet3.rar, 1851524 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_preprocessed, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_preprocessed\._ProcessDataSet3.rar, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_preprocessed\ProcessDataSet2.rar, 3830423 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_preprocessed\._ProcessDataSet2.rar, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_preprocessed\ProcessDataSet1.rar, 2560997 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_preprocessed\._ProcessDataSet1.rar, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data\._data_preprocessed, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_origin, 0 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_origin\sample_submission.rar, 195 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_origin, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_origin\._sample_submission.rar, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_origin\ccf_offline_stage1_test_revised.rar, 768046 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_origin\._ccf_offline_stage1_test_revised.rar, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\Data\data_origin\ccf_offline_stage1_train.rar, 10871156 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data\data_origin\._ccf_offline_stage1_train.rar, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\Data\._data_origin, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\Xgboost\._Data, 212 , 2019-03-07
python-Machine-learning-master\Xgboost\.idea, 0 , 2019-03-18
python-Machine-learning-master\Xgboost\.idea\Xgboost.iml, 284 , 2019-03-18
python-Machine-learning-master\Xgboost\.idea\workspace.xml, 376 , 2019-03-18
python-Machine-learning-master\Xgboost\.idea\modules.xml, 266 , 2019-03-18
__MACOSX\python-Machine-learning-master\._Xgboost, 212 , 2019-03-18
python-Machine-learning-master\Decision_tree, 0 , 2019-03-07
python-Machine-learning-master\Decision_tree\tree.py, 1585 , 2019-03-07
__MACOSX\python-Machine-learning-master\Decision_tree, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\Decision_tree\._tree.py, 212 , 2019-03-07
python-Machine-learning-master\Decision_tree\source _data.txt, 132 , 2019-03-07
__MACOSX\python-Machine-learning-master\Decision_tree\._source _data.txt, 212 , 2019-03-07
python-Machine-learning-master\Decision_tree\README, 82 , 2019-03-07
__MACOSX\python-Machine-learning-master\Decision_tree\._README, 212 , 2019-03-07
python-Machine-learning-master\Decision_tree\Decision_tree.py, 1172 , 2019-03-07
__MACOSX\python-Machine-learning-master\Decision_tree\._Decision_tree.py, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\._Decision_tree, 212 , 2019-03-07
python-Machine-learning-master\RandomForest, 0 , 2019-03-07
python-Machine-learning-master\RandomForest\README, 899 , 2019-03-07
__MACOSX\python-Machine-learning-master\RandomForest, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\RandomForest\._README, 212 , 2019-03-07
python-Machine-learning-master\RandomForest\RandomForestRegressor.py, 1610 , 2019-03-07
__MACOSX\python-Machine-learning-master\RandomForest\._RandomForestRegressor.py, 212 , 2019-03-07
python-Machine-learning-master\RandomForest\RandomForestClassifier.py, 5469 , 2019-03-07
__MACOSX\python-Machine-learning-master\RandomForest\._RandomForestClassifier.py, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\._RandomForest, 212 , 2019-03-07
python-Machine-learning-master\README, 45 , 2019-03-07
__MACOSX\python-Machine-learning-master\._README, 212 , 2019-03-07
python-Machine-learning-master\SVM, 0 , 2019-03-07
python-Machine-learning-master\SVM\SVM_SVR.py, 1424 , 2019-03-07
__MACOSX\python-Machine-learning-master\SVM, 0 , 2019-04-17
__MACOSX\python-Machine-learning-master\SVM\._SVM_SVR.py, 212 , 2019-03-07
python-Machine-learning-master\SVM\README, 1204 , 2019-03-07
__MACOSX\python-Machine-learning-master\SVM\._README, 212 , 2019-03-07
python-Machine-learning-master\SVM\SVM_SVC.py, 6098 , 2019-03-07
__MACOSX\python-Machine-learning-master\SVM\._SVM_SVC.py, 212 , 2019-03-07
__MACOSX\python-Machine-learning-master\._SVM, 212 , 2019-03-07
python-Machine-learning-master\linear regression, 0 , 2019-03-07
python-Machine-learning-master\linear regression\README, 406 , 2019-03-07

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    提取nastran“.f06”结果中的节点频响函数数据,可简单修改提取模态频率和 其它数据(Extract nastran, " f06" results in the the node frequency response function data, can be simple modification to extract the modal frequencies and other data)
    2020-12-26 09:19:03下载
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    一元稀疏多项式编程,希望对大家的编程有点用,欢迎下载(hope it useful to you)
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    2020-07-13 09:48:52下载
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    用matlab进行简单的FDTD模拟计算,初学者可以看看。。。。。。(The FDTD simulation, beginners can take a look. . . . . .)
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    有限元计算软件Nastran 运算出错时的所有错误列表,从标号1到22107.7。(FEM calculation error list of all software Nastran Error from grade 1 to 22,107.7.)
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