wine_quality_prediction

End to End wine quality prediction application with MLOPS

Workflows -- ML Pipeline

1. Data Ingestion
2. Data Validation
3. Data transformation
4. Model trainer
5. Model Evaluation -MLFLOW AND DAGSHUB

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 the components
7. Update the pipeline
8. Update the main.py