Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
M
machinelearning-introduction-workshop
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Container Registry
Model registry
Operate
Environments
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
sispub
courses
machinelearning-introduction-workshop
Repository
605487a797b6e9856051981f3e0f176db2ff8534
Select Git revision
Branches
15
update-orga-list
lukasv_additions
master
default
protected
script_improvements_uwe_after_2023_edition
interpretability
17-interpretability
60-add-goal-take-home-message-of-each-exercise
port_to_pytorch
dev
improve-section-6
deep_learning_for_nlp
for_server
sis_jupyterhub
syllabus
uwe_math_optim_script
15 results
machinelearning-introduction-workshop
Compare
Find file
Code
Clone with SSH
Clone with HTTPS
Open in your IDE
Visual Studio Code (SSH)
Visual Studio Code (HTTPS)
IntelliJ IDEA (SSH)
IntelliJ IDEA (HTTPS)
Download source code
zip
tar.gz
tar.bz2
tar
Download
Download source code
zip
tar.gz
tar.bz2
tar
Copy HTTPS clone URL
Copy SSH clone URL
git@sissource.ethz.ch:sispub/courses/machinelearning-introduction-workshop.git
Copy HTTPS clone URL
https://sissource.ethz.ch/sispub/courses/machinelearning-introduction-workshop.git
updated course layout after meeting
schmittu
authored
6 years ago
605487a7
History
605487a7
6 years ago
History
Name
Last commit
Last update
.gitignore
01_introduction.ipynb
02_classification.ipynb
03_mesauring_accuracy_of_a_classifier.ipynb
04_overfitting_and_cross_validation.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_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
regression-lin-1d.png
requirements.txt
xor.csv
README.md
README
Material related to planned machine learning workshop.
