[{"title":"( 32 个子文件 524KB ) thesis-源码","children":[{"title":"thesis-main","children":[{"title":"home_price.csv <span style='color:#111;'> 122B </span>","children":null,"spread":false},{"title":"softFaultCumulative.csv <span style='color:#111;'> 394B </span>","children":null,"spread":false},{"title":"Raw_code_linear_regression.ipynb <span style='color:#111;'> 21.83KB </span>","children":null,"spread":false},{"title":"Software_Fault_NO_transformation_Prediction_regression.ipynb <span style='color:#111;'> 25.31KB </span>","children":null,"spread":false},{"title":"decision_tree_codebasisc_my.ipynb <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"myChinaClassification.ipynb <span style='color:#111;'> 9.81KB </span>","children":null,"spread":false},{"title":"decision_tree_codebasis - Jupyter Notebook.pdf <span style='color:#111;'> 44.56KB </span>","children":null,"spread":false},{"title":"k_means.ipynb <span style='color:#111;'> 9.85KB </span>","children":null,"spread":false},{"title":"practice_linear_regression.ipynb <span style='color:#111;'> 42.06KB </span>","children":null,"spread":false},{"title":"Car_Price_prediction_library.ipynb <span style='color:#111;'> 20.97KB </span>","children":null,"spread":false},{"title":"matin.txt <span style='color:#111;'> 462B </span>","children":null,"spread":false},{"title":"myChinaClassificationnew.ipynb <span style='color:#111;'> 6.18KB </span>","children":null,"spread":false},{"title":"decision_tree_rawcode.ipynb <span style='color:#111;'> 16.04KB </span>","children":null,"spread":false},{"title":"Decision_tree_sir_sklearn.ipynb <span style='color:#111;'> 146.70KB </span>","children":null,"spread":false},{"title":" Linear_Regression_Multiple_Variables.ipynb <span style='color:#111;'> 5.77KB </span>","children":null,"spread":false},{"title":"crossest.txt <span style='color:#111;'> 32B </span>","children":null,"spread":false},{"title":"data.txt <span style='color:#111;'> 95B </span>","children":null,"spread":false},{"title":"perceptron_java.ipynb <span style='color:#111;'> 555B </span>","children":null,"spread":false},{"title":"neural_network - Jupyter Notebook.pdf <span style='color:#111;'> 31.14KB </span>","children":null,"spread":false},{"title":"k_means_clustering - Jupyter Notebook.pdf <span style='color:#111;'> 98.32KB </span>","children":null,"spread":false},{"title":"carprice.csv <span style='color:#111;'> 42B </span>","children":null,"spread":false},{"title":"SoftwateFaultpredictionUSingCumulativeSum.ipynb <span style='color:#111;'> 18.94KB </span>","children":null,"spread":false},{"title":"myChinaClassification-Copy2.ipynb <span style='color:#111;'> 8.04KB </span>","children":null,"spread":false},{"title":"73416016_2433340293428972_4050694767661547520_n.jpg <span style='color:#111;'> 160.94KB </span>","children":null,"spread":false},{"title":"myChinaClassification-Copy1.ipynb <span style='color:#111;'> 6.40KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 8B </span>","children":null,"spread":false},{"title":"softwithoutcum <span style='color:#111;'> 382B </span>","children":null,"spread":false},{"title":"datashow.cpp <span style='color:#111;'> 807B </span>","children":null,"spread":false},{"title":"test.csv <span style='color:#111;'> 344B </span>","children":null,"spread":false},{"title":"soft.csv <span style='color:#111;'> 279B </span>","children":null,"spread":false},{"title":"testWithTeacherDatasetWithImprovementofCalculation.cpp <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"matrix_multiplication.cpp <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]