Network-Anomaly-Detection-Using-Ensemble-Machine-Learning-Methods-/.gitignore at main · Wdrobi/Network-Anomaly-Detection-Using-Ensemble-Machine-Learning-Methods- · GitHub

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# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# Virtual Environment
venv/
ENV/
env/
.venv

# IDE
.vscode/
.idea/
*.swp
*.swo
*~
.DS_Store
.project
.pydevproject
.settings/
*.sublime-project
*.sublime-workspace

# Jupyter Notebook
.ipynb_checkpoints
*.ipynb

# Data and Models (large files)
data/*.csv
models/*.pkl
models/*.h5
models/*.pth


# Logs
*.log
logs/
*.pot
*.mo
.env
.venv
env.bak
venv.bak

# OS
.DS_Store
Thumbs.db
*.swp
*.swo
*~

# Testing
.pytest_cache/
.coverage
htmlcov/

# Documentation
site/
docs/_build/

# Temporary files
*.tmp
*.bak
.cache/