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Removed old commits 2016-2021
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martinjaggi committed Jun 8, 2021
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
*.egg-info/
.installed.cfg
*.egg

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*,cover
.hypothesis/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# IPython Notebook
.ipynb_checkpoints

# pyenv
.python-version

# celery beat schedule file
celerybeat-schedule

# dotenv
.env

# virtualenv
venv/
ENV/

# Spyder project settings
.spyderproject

# Rope project settings
.ropeproject

# Mac folder attributes
.DS_Store

# Core latex/pdflatex auxiliary files:
*.aux
*.lof
*.log
*.lot
*.fls
*.out
*.toc
*.fmt
*.fot
*.cb
*.cb2
*.fdb_latexmk
*.synctex.gz
*.tex
8 changes: 8 additions & 0 deletions README.md
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# EPFL Machine Learning Course CS-433
Machine Learning Course, Fall 2020

Repository for all lecture notes, labs and projects - resources, code templates and solutions.

The course website and syllabus is available here: https://www.epfl.ch/labs/mlo/machine-learning-cs-433/

Contact us if you have any questions, via the [moodle discussion forum](https://moodle.epfl.ch/course/view.php?id=14221), or email to the assistants or teachers, or feel free to create issues and pull requests here using the menu above.
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