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..
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01.1_setup_and_introduction.ipynb
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01.2_sklearn_overview.ipynb
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02.1_representation_of_data.ipynb
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02.2_feature_extraction.ipynb
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03_basic_principles_of_machine_learning.ipynb
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04.1_supervised_classification.ipynb
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04.2_supervised_regression.ipynb
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04.3_measuring_prediction_performance.ipynb
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05.1_application_to_face_recognition.ipynb
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05.2_application_to_text_mining.ipynb
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06.1_validation_and_testing.ipynb
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06.2_validation_exercise.ipynb
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07.1_in_depth_with_SVMs.ipynb
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07.2_in_depth_trees_and_forests.ipynb
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07.3_In_depth_with_linear_models.ipynb
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08.1_unsupervised_dimreduction.ipynb
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08.2_unsupervised_clustering.ipynb
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08.2_unsupervised_clustering__skipped_at_europython.ipynb
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09_pipelining_estimators.ipynb
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10_large_scale_text_classification.ipynb
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