文件名称：Principles-of-Machine-Learning-Python:机器学习Python原理
文件大小：1.9MB
文件格式：ZIP
更新时间：2024-06-12 12:13:06
JupyterNotebook
机器学习Python原理 机器学习Python原理
【文件预览】：
Principles-of-Machine-Learning-Python-master
----Module2()
--------German_Credit.csv(87KB)
--------VisualizingDataForRegression.ipynb(52KB)
--------Automobile price data _Raw_.csv(26KB)
--------VisualizingDataForClassification.ipynb(17KB)
----Final Exam()
--------FinalExam.zip(757KB)
--------FinalExam-Test.zip(23KB)
----Module7()
--------Auto_Data_Labels.csv(3KB)
--------Automobile price data _Raw_.csv(26KB)
--------IntroToUnsupervisedLearning.ipynb(32KB)
--------Auto_Data_Features.csv(64KB)
--------ApplicationOfClustering.ipynb(22KB)
----Module4()
--------Auto_Data_Preped.csv(27KB)
--------IntroductionToRegression.ipynb(100KB)
--------German_Credit_Preped.csv(170KB)
--------ApplyingLinearRegression.ipynb(20KB)
--------img()
--------Classification.ipynb(34KB)
----README.md(78B)
----Module3()
--------German_Credit.csv(87KB)
--------Automobile price data _Raw_.csv(26KB)
--------DataPreparation.ipynb(33KB)
----Module1()
--------IntroductionToMachineLearning.ipynb(17KB)
--------img()
----Module5()
--------Auto_Data_Labels.csv(3KB)
--------DimensionalityReduction.ipynb(24KB)
--------.ipynb_checkpoints()
--------FeatureSelection.ipynb(20KB)
--------CrossValidation.ipynb(26KB)
--------Credit_Labels.csv(2KB)
--------Credit_Features.csv(198KB)
--------Bias-Variance-Trade-Off.ipynb(25KB)
--------Auto_Data_Features.csv(64KB)
--------L1.jpg(115KB)
--------CrossValidation.jpg(137KB)
--------L2.jpg(160KB)
--------img()
----Module6()
--------SupportVectorMachines.ipynb(23KB)
--------Credit_Labels.csv(2KB)
--------Credit_Features.csv(198KB)
--------NeuralNetworks.ipynb(27KB)
--------Bagging.ipynb(27KB)
--------NaiveBayes.ipynb(29KB)
--------Boosting.ipynb(32KB)