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https://github.com/izam-mohammed/wine-quality-prediction

An End-to-End production ready application for predicting the quality of wineπŸ‡. Build ML model and deployed using flask πŸ€–. Used various MLOps tools to smooth the workflow.
https://github.com/izam-mohammed/wine-quality-prediction

data-science flask machine-learning ml ml-models mlops

Last synced: 4 days ago
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An End-to-End production ready application for predicting the quality of wineπŸ‡. Build ML model and deployed using flask πŸ€–. Used various MLOps tools to smooth the workflow.

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## 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
9. Update the app.py

## DagsHub

```
MLFLOW_TRACKING_URI=https://dagshub.com/izam-mohammed/Wine-Quality-Prediction.mlflow \
MLFLOW_TRACKING_USERNAME=izam-mohammed \
MLFLOW_TRACKING_PASSWORD=f497810936eeaf4fdc502187990343255063fd53 \
python script.py
```