requirements.txt

# Core Data Science and Machine Learning
numpy>=1.21.0
pandas>=1.3.0
scikit-learn>=1.0.0
matplotlib>=3.4.0
seaborn>=0.11.0
plotly>=5.0.0

# Advanced ML Models
xgboost>=1.5.0
lightgbm>=3.3.0
catboost>=1.0.0

# Deep Learning (Optional for advanced models)
tensorflow>=2.8.0
torch>=1.11.0

# Data Processing
imbalanced-learn>=0.8.0
feature-engine>=1.4.0

# API and Web Framework
fastapi>=0.75.0
uvicorn>=0.17.0
pydantic>=1.9.0

# Database and Storage
sqlalchemy>=1.4.0
redis>=4.0.0

# Configuration and Logging
python-dotenv>=0.19.0
loguru>=0.6.0

# Testing
pytest>=7.0.0
pytest-cov>=3.0.0
pytest-mock>=3.7.0

# Development Tools
jupyter>=1.0.0
black>=22.0.0
flake8>=4.0.0
pre-commit>=2.17.0

# Deployment
gunicorn>=20.1.0
docker>=5.0.0

# Utilities
tqdm>=4.62.0
joblib>=1.1.0
pickle-mixin>=1.0.0