Wine Quality Prediction

This repository serves as a demonstration for predicting wine quality using machine learning models with the help of MLFlow and Dagshub for experiment tracking. In this repository, you will find code samples, datasets, and results from various experiments conducted to improve the accuracy and performance of the wine quality prediction models.

Dagshub

• MLFLOW_TRACKING_URI=https://dagshub.com/subhayudutta/wine-quality-prediction.mlflow \
• MLFLOW_TRACKING_USERNAME=subhayudutta \
• MLFLOW_TRACKING_PASSWORD=c35d05fca590c91f6e1309fc30a40f4617653511 \
• python script.py

Terminal:

export MLFLOW_TRACKING_URI=https://dagshub.com/subhayudutta/wine-quality-prediction.mlflow

export MLFLOW_TRACKING_USERNAME=subhayudutta 

export MLFLOW_TRACKING_PASSWORD=000