Complete DataScienceProject

Workflows--ML Pipeline

1. Data Ingestion
2. Data Validation
3. Data Transformation -- ( Feature Engineering, Data Preprocessing.)
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