Welcome to Advanced ML 🧠

You've mastered fundamentals. Now build production-ready models.

The difference between a decent model and an industry-grade one:

• Interpretability - Explain why your model made a prediction
• Advanced algorithms - XGBoost, SHAP, LIME, stacking
• Production patterns - Monitoring, deployment, edge cases
• Real-world challenges - Class imbalance, data drift, ethical AI

Key Skills

✅ SHAP & LIME - Explain any prediction ✅ Hyperparameter tuning - Optimize for maximum accuracy ✅ Handle imbalanced data - When you have 99% negatives ✅ Deploy models safely - Version control, monitoring, rollback ✅ Detect model drift - When performance degrades

Prerequisites

✅ Module 5 (ML Fundamentals - all algorithms)

Let's build enterprise-grade ML! 🚀