# Data Science Core
pandas>=2.0.0
numpy>=1.24.0

# EDA and Profiling
ydata-profiling>=4.6.0

# Machine Learning
scikit-learn>=1.3.0
xgboost>=2.0.0
lightgbm>=4.0.0

# Imbalanced Learning
imbalanced-learn>=0.11.0

# Model Interpretation
shap>=0.43.0

# Visualization
matplotlib>=3.7.0
seaborn>=0.12.0
plotly>=5.17.0

# Utilities
joblib>=1.3.0
tqdm>=4.66.0

# Optional: Hyperparameter Tuning
optuna>=3.4.0

# Optional: Deep Learning (if needed)
# torch>=2.0.0
# torchvision>=0.15.0