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Using the UCI Wine Dataset with scikit-learn

  • Three Classification Machine Learning models using the CART algorithm.

  • One Clustering Model with K-means with silhouette score.

  • Data cleaning, processing and visualization.

Max accuracy of 94%.

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Three Classification models using CART algorithm and one Clustering Model with K-means for the UCI wine dataset.

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