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Name	Last commit	Last update
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images
intro_presentation
setup_eth_course_rooms
.gitignore
00_numpy_pandas_matplotlib_intro.ipynb
01_introduction.ipynb
02_classification.ipynb
03_overfitting_and_cross_validation.ipynb
04_measuring_quality_of_a_classifier.ipynb
05_classifiers_overview.ipynb
06_preprocessing_pipelines_and_hyperparameter_optimization.ipynb
07_regression.ipynb
08_neural_networks.ipynb
2d_points.csv
LICENSE
Notes Review 01 and 02.ipynb
README.md
beers.csv
beers_eval.csv
circle.csv
classifier_examples.ipynb
concepts.md
course_layout.md
create_datasets.py.ipynb
custom.html
decision_boundaries.ipynb
digit_4_14x14.csv
example.csv
graphics.ipynb
index.ipynb
line_separable_2d.csv
machine_learning_workshop_proposal.ipynb
mlw_packages.yml
requirements_dev.txt
rock_driving-kernel_trick.jpg
salmon.csv
xor.csv

README

Material related to planned machine learning workshop.