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Wine Classifier

A machine learning classification project using scikit-learn's built-in Wine dataset.

Project structure

  • notebooks/wine_model.ipynb - walkthrough notebook
  • src/train.py - standalone training script
  • outputs/confusion_matrix.png - saved confusion matrix
  • outputs/wine_model.joblib - saved trained model

Setup

Create and activate a virtual environment, then install dependencies from requirements.txt.

Run

python src/train.py

About

Wine classification project using scikit-learn’s built-in Wine dataset to train and evaluate a supervised machine learning model, with results tracked via Jupyter notebooks and saved model artifacts.

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