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https://github.com/codewithcharan/mlflow-wine-quality-project
https://github.com/codewithcharan/mlflow-wine-quality-project
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/codewithcharan/mlflow-wine-quality-project
- Owner: CodeWithCharan
- Created: 2024-03-03T12:47:06.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-03-03T16:17:39.000Z (11 months ago)
- Last Synced: 2024-03-04T14:23:37.651Z (11 months ago)
- Language: Python
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MLflow-Wine-Quality-Project
I've built a model to predict wine quality and set up a remote server on DagsHub for tracking experiments.
- [ElasticnetWineModel](https://dagshub.com/CodeWithCharan/MLflow-Wine-Quality-Project/models)
- [Experiments](https://dagshub.com/CodeWithCharan/MLflow-Wine-Quality-Project/experiments/#/)
## Video Presentation
https://github.com/CodeWithCharan/MLflow-Wine-Quality-Project/assets/106027109/2e05ac3c-b9e6-4b7f-81c9-aa9fa7d9c7ce
## DATASET
This dataset is taken from : http://archive.ics.uci.edu/ml/datasets/Wine+Quality
## Acknowledgements
`Thanks to MLflow for providing this tutorials and examples`
## Installation
1. Clone the repository:
```
git clone https://github.com/CodeWithCharan/MLflow-Wine-Quality-Project.git
```
2. Create a `virtual environment` (optional): [Virtual Environment Set Up](https://github.com/CodeWithCharan/virtual-env-setup)
3. Install the required dependencies:
```
pip install -r requirements.txt
```
4. Run `app.py`:
```
python app.py
```
5. Go to `mlflow ui`:
```
mlflow ui
```
7. mlflow ui will be running on `http://127.0.0.1:5000/`, so paste this URL
8. Now, try different experiments and compare them:
```
python app.py 0.3 0.7
```
9. Create a remote server (optional): You have the option to integrate the project with any remote server, such as AWS, Azure, GCP, etc. In this project, I have used Dagshub as a remote server : https://dagshub.com/user/login