sklearn_scipy2013
Scikit-learn tutorials for the Scipy 2013 conference
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Download Latest Version (.zip)- __init__.py
- bias_variance.py
- grid_search_cv_splits.png
- grid_search_parameters.png
- iris_setosa.jpg
- iris_versicolor.jpg
- iris_virginica.jpg
- linear_regression.py
- ML_flow_chart.py
- sdss_filters.py
- sgd_separator.py
- supervised_scikit_learn.png
- svm_gui_frames.py
- parallel_text_clf.png
- parallel_text_clf_average.png
- 02A_faces_plot.py
- 04B_houses_regression.py
- 04C_validation_exercise.py
- 05B_strip_headers.py
- 06B_basic_grid_search.py
- 06B_learning_curves.py
- 07B_grid_search.py
- 08A_digits_projection.py
- 08B_digits_clustering.py
- 01.1_setup_and_introduction.ipynb
- 01.2_sklearn_overview.ipynb
- 02.1_representation_of_data.ipynb
- 02.2_feature_extraction.ipynb
- 03_basic_principles_of_machine_learning.ipynb
- 04.1_supervised_classification.ipynb
- 04.2_supervised_regression.ipynb
- 04.3_measuring_prediction_performance.ipynb
- 05.1_application_to_face_recognition.ipynb
- 05.2_application_to_text_mining.ipynb
- 06.1_validation_and_testing.ipynb
- 06.2_validation_exercise.ipynb
- 07.1_in_depth_with_SVMs.ipynb
- 07.2_in_depth_trees_and_forests.ipynb
- 07.3_In_depth_with_linear_models.ipynb
- 08.1_unsupervised_dimreduction.ipynb
- 08.2_unsupervised_clustering.ipynb
- 09_pipelining_estimators.ipynb
- 10_distributed_model_selection_and_assessment.ipynb
- 11_large_scale_text_classification.ipynb
- helpers.py
- 01.1_setup_and_introduction.ipynb
- 01.2_sklearn_overview.ipynb
- 02.1_representation_of_data.ipynb
- 02.2_feature_extraction.ipynb
- 03_basic_principles_of_machine_learning.ipynb
- 04.1_supervised_classification.ipynb
- 04.2_supervised_regression.ipynb
- 04.3_measuring_prediction_performance.ipynb
- 05.1_application_to_face_recognition.ipynb
- 05.2_application_to_text_mining.ipynb
- 06.1_validation_and_testing.ipynb
- 06.2_validation_exercise.ipynb
- 07.1_in_depth_with_SVMs.ipynb
- 07.2_in_depth_trees_and_forests.ipynb
- 07.3_In_depth_with_linear_models.ipynb
- 08.1_unsupervised_dimreduction.ipynb
- 08.2_unsupervised_clustering.ipynb
- 09_pipelining_estimators.ipynb
- 10_distributed_model_selection_and_assessment.ipynb
- 11_large_scale_text_classification.ipynb
- .gitignore
- fetch_data.py
- ipynbhelper.py
- README.md
- svm_gui.py
// repository documentation
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