文件名称：python_machine_learning_introduction:Python机器学习简介
文件大小：760KB
文件格式：ZIP
更新时间：2024-03-27 07:17:44
Python
python_machine_learning_introduction:Python机器学习简介
【文件预览】：
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)