/ml-pipeline

Design and implement a complete ML pipeline for: $ARGUMENTS

# Machine Learning Pipeline

Design and implement a complete ML pipeline for: $ARGUMENTS

Create a production-ready pipeline including:

1. **Data Ingestion**:
   - Multiple data source connectors
   - Schema validation with Pydantic
   - Data versioning strategy
   - Incremental loading capabilities

2. **Feature Engineering**:
   - Feature transformation pipeline
   - Feature store integration
   - Statistical validation
   - Handling missing data and outliers

3. **Model Training**:
   - Experiment tracking (MLflow/W&B)
   - Hyperparameter optimization
   - Cross-validation strategy
   -...