udemy-scikit-learn

このコードは，以下のオンラインレクチャーで使用しているものです．

Pythonで機械学習：scikit-learnで学ぶ識別入門：pythonの機械学習ライブラリscikit-learnを使って，識別の基本を徹底的にマスターしよう！ https://www.udemy.com/course/python-scikit-learn/

確認バージョン

• system: sys.version_info(major=3, minor=7, micro=7, releaselevel='final', serial=0)
• IPython: 7.13.0
• Jupyter: (4, 6, 3)
• Numpy: 1.18.1
• Scikit-learn: 0.22.1
• Matplotlib: 3.1.3
• Scipy: 1.4.1
• Pandas: 1.0.3

Google Colabリンク

• version_check.ipynb

• 03_01_2D_example.ipynb

• 03_02_breast_cancer.ipynb

• 03_03_isis_dataset.ipynb

• 03_04_isis_shuffle.ipynb

• 04_01_random.ipynb

• 04_02_train_test_split_mnist.ipynb

• 04_03_hold_out.ipynb

• 04_04_cross_validation.ipynb

• 04_05_leave_one_out.ipynb

• 04_06_train_val_test_set.ipynb

• 05_01_missing_values.ipynb

• 05_02_feature_extraction.ipynb

• 05_03_feature_selection.ipynb

• 05_04_feature_transform-pca-nonlinear.ipynb

• 05_05_standardizaton_normalization.ipynb

• 06_01_confusion_matrix.ipynb

• 06_02_precision_recall.ipynb

• 06_03_roc_auc.ipynb

• 07_01_2class_multi_class.ipynb

• 07_02_nearest_neighbor.ipynb

• 07_03_perceptron.ipynb

• 07_04_logistic_regression.ipynb

• 07_05_SVM.ipynb

• 07_06_MLP.ipynb

• 07_07_random_forest.ipynb

• 08_01_grid_search.ipynb

• 08_02_pipeline.ipynb

• 08_03_parameter_C.ipynb

• 09_01_linear_svm.ipynb

• 09_02_SGD.ipynb

• 10_01_20news.ipynb