ML_PRACTICAL

【文件属性】：
文件名称：ML_PRACTICAL
文件大小：1.12MB
文件格式：ZIP
更新时间：2021-04-19 19:22:30
JupyterNotebook ML_PRACTICAL

【文件预览】：
ML_PRACTICAL-main
----Practical-2()
--------test.csv(441KB)
--------skikit_linear regression-checkpoint.ipynb(86KB)
--------README.md(1B)
--------Linearregression-checkpoint.ipynb(19KB)
----Practical-3()
--------test.csv(441KB)
--------logistic regression-checkpoint.ipynb(908KB)
--------README.md(1B)
----Practical-6()
--------Practical-6_digits ML.ipynb(8KB)
--------Practical-6_iris ML.ipynb(8KB)
----Practical-1()
--------numpy-checkpoint.ipynb(7KB)
--------Dataframe-checkpoint.ipynb(17KB)
--------List-checkpoint.ipynb(7KB)
--------Dictionary-checkpoint.ipynb(8KB)
--------README.md(1B)
----Practical-7()
--------Practical-7_Confusion Matrix ML.ipynb(47KB)
----Practical-5()
--------Practical-5 KNN_iris ML.ipynb(10KB)
--------KNNDemo.csv(209B)
--------Practical-5 Exercise ML.ipynb(9KB)
----Practical-8()
--------ensemble_methods (2).ipynb(336KB)
--------README.md(1B)
----Practical-10()
--------PCA.ipynb(23KB)
--------Wine.csv(11KB)
--------README.md(1B)
--------LDA.ipynb(19KB)
----README.md(14B)
----Practical-4()
--------SVM.ipynb(28KB)
--------README.md(1B)
----Practical-9()
--------kmeans.ipynb(50KB)
--------Mall_Customers.csv(4KB)
--------README.md(1B)
--------Hierachical.ipynb(50KB)