套件机器学习
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2021-02-07
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kit-machine-learning-master.zip （95个子文件） 
kit-machine-learning-master 
.gitignore 2KB README.md 22B Exercise-02 
feedback_exercise_2.txt 673B 02-Initial_Files x_samples.npy 8KB x_plt.npy 936B iris_data.npz 7KB y_plt.npy 936B exercise.ipynb 52KB y_samples.npy 8KB 02-Solutions x_samples.npy 8KB
group_13_ubibt_ugyxt_uixbe.zip 657KB x_plt.npy 936B iris_data.npz 7KB y_plt.npy 936B
exercise.pdf 382KB exercise.ipynb 429KB y_samples.npy 8KB ExPoints.txt 571B Exercise-01 feedback_exercise_1.txt 1KB 01-Solutions two_moons.npz 3KB group_13_ubibt_ugyxt_uixbe.zip 365KB training_data.npy 288B exercise.pdf 241KB exercise.ipynb 212KB test_data.npy 2KB 01-Initial_Files two_moons.npz 3KB training_data.npy 288B exercise.ipynb 56KB test_data.npy 2KB Exercise-04 04-Initial_Files exercise4.ipynb 34KB two_moons.npz 3KB two_moons_test.npz 3KB 04-Solution exercise4.ipynb 277KB two_moons.npz 3KB group_13_ubibt_ugyxt_uixbe.zip 453KB two_moons_test.npz 3KB exercise4.pdf 289KB feedback_exercise_4.txt 702B Exercise-00 00-Initial_Files zeroth_exercise.ipynb 13KB zeroth_exercise_pdf.pdf 217KB 00-Solutions group_13_ubibt_ugyxt_uixbe.zip 91KB zeroth_exercise.ipynb 27KB zeroth_exercise.pdf 75KB requirements.txt 1KB Exercise-03 03-Solutions exercise3.ipynb 994KB group_13_ubibt_ugyxt_uixbe.zip 1.36MB exercise3.pdf 681KB samples_3.npy 8KB samples_2.npy 8KB samples_u.npy 8KB samples_1.npy 8KB 03-Initial_Files exercise3.ipynb 27KB samples_3.npy 8KB samples_2.npy 8KB samples_u.npy 8KB samples_1.npy 8KB feedback_exercise_3.txt 867B Lectures 04_TreesAndForests 04_TreesAndForests.pdf 1.93MB Organization + Introduction.pdf 2.31MB 02_LinearClassification 02_LinearClassification.pdf 2.58MB 02_LinearClassification_LectureNotebook two_moons.npz 3KB lc_lecture.ipynb 55KB 02_LinearClassification_annotated.pdf 3.24MB 07_KernelMethods KernelMethods.pdf 704KB kernel_ridge_regression_notebook y_test.npy 528B x_plot.npy 928B y_train.npy 248B x_train.npy 248B x_test.npy 528B y_plot.npy 928B kernel_ridge_regression.ipynb 163KB 06_DensityEstimation DensityEstimation.pdf 1.56MB 03_ModelSelection 03_ModelSelection_LectureNotebook bias_var_tradeoff.ipynb 40KB 03_ModelSelection.pdf 1.59MB 10_NeuralNets 10_NeuralNets.pdf 4.06MB 08_SVMs 08_SVMs.pdf 3.09MB 09_BayesianLearning 09_BayesianLearning.pdf 3.17MB 01_LinearRegression 01_LinearRegression_LectureNotebook linear_regression_lecture.ipynb 108KB training_data.npy 288B test_data.npy 2KB 01_LinearRegression_annotated.pdf 2.3MB 01_LinearRegression.pdf 1.39MB 05_DimensionalityReduction 05_DimensionalityReduction.pdf 1.51MB 05_DimensionalityReductionClustering.pdf 3.61MB 05_DimensionalityReduction_LectureNotebook.ipynb 118KB Exercise-05 02-Solution x_plot.npy 928B y_train.npy 368B x_train.npy 368B y_plot.npy 928B exercise.ipynb 238KB 01-Initial_Files x_plot.npy 928B y_train.npy 368B x_train.npy 368B y_plot.npy 928B exercise.ipynb 18KB资源评论
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