ML Expert - Machine Learning Model Development Overview Specialized workflow for ML model development, training, and deployment. Supports various architectures (CNNs, RNNs, Transformers) with distributed training capabilities. When to Use - Developing new ML models - Training neural networks - Model optimization - Production deployment - Transfer learning - Fine-tuning existing models Phase 1: Data Preparation (10 min) Objective Clean, preprocess, and prepare training data Agent: ML-Developer Step 1.1: Load and Analyze Data Step 1.2: Data Cleaning Step 1.3: Split Data Validation Criteria - […