requirements.txt

# Data manipulation
pandas>=1.5.0
numpy>=1.23.0

# Machine Learning
scikit-learn>=1.2.0
xgboost>=2.0.0
imbalanced-learn>=0.11.0  # Pour SMOTE et équilibrage des classes

# Deep Learning (pour model_2 - RNN)
# Note: Pour CUDA, installez avec: pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# Pour CPU seulement: pip install torch torchvision
torch>=2.0.0
torchvision>=0.15.0

# Visualization
matplotlib>=3.6.0
seaborn>=0.12.0

# Data download
gdown>=4.6.0

# Testing
pytest>=7.4.0
pytest-cov>=4.1.0

# Utilities
joblib>=1.3.0
python-dotenv>=1.0.0
pyyaml>=6.0

# Optional: for better data handling
pyarrow>=13.0.0


opencv-python>=4.7.0
# Image processing
pillow>=10.0.0

# Progress bar
tqdm>=4.66.0

# Google Colab (optionnel, utile uniquement sur Colab)
# google-colab>=1.0.0