https://github.com/mahraibfatima/rudder
Wine Prediction end to end ML model
https://github.com/mahraibfatima/rudder
ml mlops predictor wine-quality
Last synced: 8 months ago
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Wine Prediction end to end ML model
- Host: GitHub
- URL: https://github.com/mahraibfatima/rudder
- Owner: MahraibFatima
- License: mit
- Created: 2024-08-06T04:39:24.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-11T21:58:36.000Z (almost 2 years ago)
- Last Synced: 2025-08-02T17:43:23.814Z (11 months ago)
- Topics: ml, mlops, predictor, wine-quality
- Language: Jupyter Notebook
- Homepage:
- Size: 399 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Wine Prediction MLOps Project
## Overview
This project demonstrates the deployment of a machine learning model for wine quality prediction. Using MLOps practices, we've automated the workflow from data preprocessing to model deployment.
## Key Features
- Automated CI/CD Pipeline
- Scalable Deployment
- Real-time Model Predictions
## Demo Video
[Watch the demo on YouTube](https://youtu.be/lkKLTN5dH40)
## Quick Start
1. **Create Environment:**
```bash
conda create -n mlproj python=3.8 -y
```
2. **Activate Environment:**
```bash
conda activate mlproj
```
3. **Install Dependencies:**
```bash
pip install -r requirements.txt
```
4. **Run Application:**
```bash
python app.py
```
5. **Access the Application:**
Open your browser and go to `0.0.0.0:8080`.