What's included:
• Data preprocessing, feature engineering, and validation setup
• Model selection, training, and benchmarking (scikit-learn / PyTorch)
• Metric evaluation (Accuracy, ROC-AUC, Precision/Recall, NDCG)
• Clean, reproducible Python code with model artifacts