End-to-End Data Science Project

Workflows -- ML Pipeline

1. Data Ingestion
2. Data Validation
3. Data Transformation
4. Model Trainer
5. Model Evaluation

Workflows

1. Update config.yaml
2. Update schema.yaml
3. Update params.yaml
4. Update the entity
5. Update the configuration manager in src config
6. Update components
7. Update pipeline
8. Write main.py