GitHub - MuntahaKhalid1/Restaurant-Menu-Optimization-R-Clustering: I cleaned and scaled data for 124 menu items, applying both hierarchical and K-means clustering to categorize these items based on customer preferences. This analysis allowed me to optimize the menu structure effectively. By leveraging the insights gained from clustering, I adjusted the menu offerings, which led to increased customer satisfaction.

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I cleaned and scaled data for 124 menu items, applying both hierarchical and K-means clustering to categorize these items based on customer preferences. This analysis allowed me to optimize the menu structure effectively. By leveraging the insights gained from clustering, I adjusted the menu offerings, which led to increased customer satisfaction.