Python学习教程-机器学习基础教程中文

[{"title":"（ 99 个子文件 2.37MB ） Python学习教程-机器学习基础教程中文","children":[{"title":"Introduciton-2-ML-with-Python-notebook-master","children":[{"title":"第2章-监督学习-决策树集成.ipynb <span style='color:#111;'> 20.28KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"adult.data <span style='color:#111;'> 3.79MB </span>","children":null,"spread":false},{"title":"ram_price.csv <span style='color:#111;'> 5.69KB </span>","children":null,"spread":false},{"title":"citibike.csv <span style='color:#111;'> 671.96KB </span>","children":null,"spread":false}],"spread":true},{"title":"mglearn","children":[{"title":"plot_knn_classification.py <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 207B </span>","children":null,"spread":false},{"title":"plot_linear_svc_regularization.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"plot_animal_tree.py <span style='color:#111;'> 893B </span>","children":null,"spread":false},{"title":"plot_kmeans.py <span style='color:#111;'> 5.66KB </span>","children":null,"spread":false},{"title":"plot_2d_separator.py <span style='color:#111;'> 5.36KB </span>","children":null,"spread":false},{"title":"plot_nn_graphs.py <span style='color:#111;'> 3.43KB </span>","children":null,"spread":false},{"title":"plot_ridge.py <span style='color:#111;'> 1017B </span>","children":null,"spread":false},{"title":"make_blobs.py <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"plot_cross_validation.py <span style='color:#111;'> 8.66KB </span>","children":null,"spread":false},{"title":"plot_interactive_tree.py <span style='color:#111;'> 2.71KB </span>","children":null,"spread":false},{"title":"plot_nmf.py <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false},{"title":"plot_metrics.py <span style='color:#111;'> 4.02KB </span>","children":null,"spread":false},{"title":"plot_pca.py <span style='color:#111;'> 4.62KB </span>","children":null,"spread":false},{"title":"plot_tree_nonmonotonous.py <span style='color:#111;'> 894B </span>","children":null,"spread":false},{"title":"plot_kneighbors_regularization.py <span style='color:#111;'> 944B </span>","children":null,"spread":false},{"title":"plots.py <span style='color:#111;'> 3.20KB </span>","children":null,"spread":false},{"title":"plot_dbscan.py <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"datasets.py <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"plot_rbf_svm_parameters.py <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"plot_knn_regression.py <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"plot_grid_search.py <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false},{"title":"tools.py <span style='color:#111;'> 4.69KB </span>","children":null,"spread":false},{"title":"plot_decomposition.py <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"plots.cpython-35.pyc <span style='color:#111;'> 2.45KB </span>","children":null,"spread":false},{"title":"plot_metrics.cpython-35.pyc <span style='color:#111;'> 4.73KB </span>","children":null,"spread":false},{"title":"plot_decomposition.cpython-35.pyc <span style='color:#111;'> 1.23KB </span>","children":null,"spread":false},{"title":"plot_dbscan.cpython-35.pyc <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"plot_scaling.cpython-35.pyc <span style='color:#111;'> 1.96KB </span>","children":null,"spread":false},{"title":"plot_cross_validation.cpython-35.pyc <span style='color:#111;'> 8.65KB </span>","children":null,"spread":false},{"title":"datasets.cpython-35.pyc <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"plot_kmeans.cpython-35.pyc <span style='color:#111;'> 5.13KB </span>","children":null,"spread":false},{"title":"plot_grid_search.cpython-35.pyc <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"plot_linear_svc_regularization.cpython-35.pyc <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"plot_helpers.cpython-35.pyc <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"plot_knn_classification.cpython-35.pyc <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"plot_knn_regression.cpython-35.pyc <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"plot_animal_tree.cpython-35.pyc <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false},{"title":"plot_nn_graphs.cpython-35.pyc <span style='color:#111;'> 2.98KB </span>","children":null,"spread":false},{"title":"__init__.cpython-35.pyc <span style='color:#111;'> 393B </span>","children":null,"spread":false},{"title":"plot_2d_separator.cpython-35.pyc <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"plot_tree_nonmonotonous.cpython-35.pyc <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false},{"title":"plot_linear_regression.cpython-35.pyc <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":"plot_nmf.cpython-35.pyc <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"plot_pca.cpython-35.pyc <span style='color:#111;'> 4.51KB </span>","children":null,"spread":false},{"title":"tools.cpython-35.pyc <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"plot_interactive_tree.cpython-35.pyc <span style='color:#111;'> 3.43KB </span>","children":null,"spread":false},{"title":"plot_improper_preprocessing.cpython-35.pyc <span style='color:#111;'> 3.47KB </span>","children":null,"spread":false},{"title":"plot_agglomerative.cpython-35.pyc <span style='color:#111;'> 3.46KB </span>","children":null,"spread":false},{"title":"plot_ridge.cpython-35.pyc <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"plot_rbf_svm_parameters.cpython-35.pyc <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false}],"spread":false},{"title":"plot_improper_preprocessing.py <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false},{"title":"plot_linear_regression.py <span style='color:#111;'> 1005B </span>","children":null,"spread":false},{"title":"plot_agglomerative.py <span style='color:#111;'> 3.37KB </span>","children":null,"spread":false},{"title":"plot_helpers.py <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false},{"title":"plot_scaling.py <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false}],"spread":false},{"title":"第2章-监督学习-决策树.ipynb <span style='color:#111;'> 23.52KB </span>","children":null,"spread":false},{"title":"第1章-鸢尾花的例子-KNN.ipynb <span style='color:#111;'> 321.87KB </span>","children":null,"spread":false},{"title":"第2章-监督学习-线性模型.ipynb <span style='color:#111;'> 40.98KB </span>","children":null,"spread":false},{"title":"imgs","children":[{"title":"2-30.JPG <span style='color:#111;'> 41.48KB </span>","children":null,"spread":false},{"title":"2-5.JPG <span style='color:#111;'> 30.72KB </span>","children":null,"spread":false},{"title":"2-32.JPG <span style='color:#111;'> 38.91KB </span>","children":null,"spread":false},{"title":"2-31.JPG <span style='color:#111;'> 31.26KB </span>","children":null,"spread":false},{"title":"2-4.JPG <span style='color:#111;'> 30.15KB </span>","children":null,"spread":false},{"title":"2-15.JPG <span style='color:#111;'> 38.25KB </span>","children":null,"spread":false},{"title":"1-1.PNG <span style='color:#111;'> 191.34KB </span>","children":null,"spread":false},{"title":"2-6.JPG <span style='color:#111;'> 45.44KB </span>","children":null,"spread":false},{"title":"2-21.JPG <span style='color:#111;'> 42.60KB </span>","children":null,"spread":false},{"title":"2-34.JPG <span style='color:#111;'> 63.49KB </span>","children":null,"spread":false},{"title":"2-17.JPG <span style='color:#111;'> 71.33KB </span>","children":null,"spread":false},{"title":"2-28.JPG <span style='color:#111;'> 53.41KB </span>","children":null,"spread":false},{"title":"2-29.JPG <span style='color:#111;'> 63.98KB </span>","children":null,"spread":false},{"title":"2-18.JPG <span style='color:#111;'> 69.03KB </span>","children":null,"spread":false},{"title":"2-12.JPG <span style='color:#111;'> 56.43KB </span>","children":null,"spread":false},{"title":"2-10.JPG <span style='color:#111;'> 73.81KB </span>","children":null,"spread":false},{"title":"2-25.JPG <span style='color:#111;'> 23.80KB </span>","children":null,"spread":false},{"title":"2-22.JPG <span style='color:#111;'> 22.28KB </span>","children":null,"spread":false},{"title":"2-14.JPG <span style='color:#111;'> 58.56KB </span>","children":null,"spread":false},{"title":"2-9.JPG <span style='color:#111;'> 55.43KB </span>","children":null,"spread":false},{"title":"2-33.JPG <span style='color:#111;'> 99.07KB </span>","children":null,"spread":false},{"title":"2-26.JPG <span style='color:#111;'> 61.11KB </span>","children":null,"spread":false},{"title":"2-35.JPG <span style='color:#111;'> 57.82KB </span>","children":null,"spread":false},{"title":"2-11.JPG <span style='color:#111;'> 56.99KB </span>","children":null,"spread":false},{"title":"2-23.JPG <span style='color:#111;'> 34.65KB </span>","children":null,"spread":false},{"title":"2-19.JPG <span style='color:#111;'> 34.04KB </span>","children":null,"spread":false},{"title":"2-8.JPG <span style='color:#111;'> 46.76KB </span>","children":null,"spread":false},{"title":"2-27.JPG <span style='color:#111;'> 106.04KB </span>","children":null,"spread":false},{"title":"cover.PNG <span style='color:#111;'> 244.24KB </span>","children":null,"spread":false},{"title":"2-13.JPG <span style='color:#111;'> 42.04KB </span>","children":null,"spread":false},{"title":"2-24.JPG <span style='color:#111;'> 24.45KB </span>","children":null,"spread":false},{"title":"2-16.JPG <span style='color:#111;'> 52.93KB </span>","children":null,"spread":false},{"title":"2-7.JPG <span style='color:#111;'> 32.96KB </span>","children":null,"spread":false},{"title":"2-20.JPG <span style='color:#111;'> 47.84KB </span>","children":null,"spread":false}],"spread":false},{"title":"README.md <span style='color:#111;'> 444B </span>","children":null,"spread":false},{"title":"第2章-监督学习-K近邻.ipynb <span style='color:#111;'> 17.57KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]