Unsupervised-Machine-Learning-Clustering by Yididiya Beyene#9
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Yididiya16 wants to merge 2 commits intosoftwareWCU:mainfrom
Open
Unsupervised-Machine-Learning-Clustering by Yididiya Beyene#9Yididiya16 wants to merge 2 commits intosoftwareWCU:mainfrom
Yididiya16 wants to merge 2 commits intosoftwareWCU:mainfrom
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The code applies unsupervised machine learning to group medicines based on their Weight Index and pH values. It first loads and standardizes the data, then uses the Elbow Method to determine the optimal number of clusters (K = 2). K-Means and Hierarchical Clustering are applied, and cluster quality is evaluated with Silhouette Scores. Results are visualized using scatter plots and a dendrogram, showing consistent grouping of medicines with similar features. Overall, the code demonstrates how unsupervised learning can automatically identify meaningful patterns in the dataset.