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sispub
courses
machinelearning-introduction-workshop
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8662ea81ab4c8a6c7e5043c28c866824475756da
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script_improvements_uwe_after_2023_edition
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machinelearning-introduction-workshop
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.gitignore
01_introduction.ipynb
02_classification.ipynb
03_overfitting_and_cross_validation.ipynb
04_measuring_quality_of_a_classifier.ipynb
2d_points.csv
LICENSE
Notes Review 01 and 02.ipynb
README.md
beers.csv
beers_eval.csv
classification-svc-2d-poly.png
classifier_examples.ipynb
cluster-image.png
concepts.md
course_layout.md
create_datasets.py.ipynb
cross_eval_and_test.svg
cross_val_0.png
cross_val_0.svg
cross_val_1.png
cross_val_1.svg
cross_val_2.png
cross_val_2.svg
cross_val_3.png
cross_val_3.svg
data_split.png
decision_boundaries.ipynb
graphics.ipynb
machine_learning_workshop_proposal.ipynb
nonlin-pca.png
precision_high_recall_low.svg
precision_low_recall_high.svg
regression-lin-1d.png
requirements.txt
xor.csv
README.md
README
Material related to planned machine learning workshop.