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| .. | ||
| README.txt | ||
| _plot_pca_3d.py | ||
| _plot_pca_3d_mayavi.py | ||
| plot_cluster_iris.py | ||
| plot_cv_diabetes.py | ||
| plot_cv_digits.py | ||
| plot_digits_agglomeration.py | ||
| plot_digits_classification_excercice.py | ||
| plot_digits_first_image.py | ||
| plot_digits_pipe.py | ||
| plot_face_recognition.py | ||
| plot_iris_classifiers.py | ||
| plot_iris_dataset.py | ||
| plot_iris_dataset_3class.py | ||
| plot_iris_exercice.py | ||
| plot_iris_logistic.py | ||
| plot_knn_iris.py | ||
| plot_lena_compress.py | ||
| plot_logistic.py | ||
| plot_ols.py | ||
| plot_ols_3d.py | ||
| plot_ols_variance.py | ||
| plot_pca_iris.py | ||
| plot_ridge_variance.py | ||
| plot_stock_market.py | ||
| plot_svm_kernels.py | ||
| plot_svm_margin.py | ||
README.txt
Example files for the scikit-learn statistical learning tutorial