python_machine_learning_introduction:Python机器学习简介
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2021-03-07
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python_machine_learning_introduction-main.zip （26个子文件） 
python_machine_learning_introduction-main chapter_1_Introduction 
2_classifying_iris_species.py 8KB 1_libraries_and_tools.py 2KB
jupyter-lab_1.png 88KB matplotlib_example1.png 38KB pair-plot_1.png.png 151KB chapter_2_supervised_learning 3_Linear_models_for_regression.py 6KB 2_k-Nearest_neighbors.py 5KB k-neighbours_accuracy_comparison.png 20KB 1-nearest-neighbor-example.png 17KB k-neighbors_regression_example.png 25KB data-set-example-1-forge.png 16KB l1_regularization_for_linear_classifiers.png 33KB ridge_coeff_evolution_with_alpha.png 82KB data-set-example-2-wave.png 12KB 4_linear_models_for_classification.py 4KB 3-neighbors_regression_example.png 26KB linear_svc_regularization.png 30KB lasso_coeff_evolution_with_alpha.png 82KB regularization_with_c.png 34KB linear-regression-OLS.png 23KB prediction_boundaries_example.png 22KB linear_models_classification_logisticRegression_vs_SVC.png 24KB 1:2:3-k_neighbor_regression_example.png 48KB 1_data_sets.py 11KB 3-nearest-neighbor-example.png 19KB .gitignore 30B
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