GitHub - Sidharth1999/Clustering-Case-Study: Springboard Data Science Bootcamp Unit 15 Case Study on Clustering - This was an exercise on applying clustering algorithms to a dataset containing wine offers and wine transactions, and the goal was the perform customer segregation to identify common customer patterns and thereby be able to perform more insightful targeting of customers. The exercise involved wrangling the data into a suitable shape, using different evaluation methods to find the optimal value of K, and then applying K-Means to a PCA-transformed dataset with 2 instead of 32 dimensions. Other clustering algorithms were explored as well, such as Agglomerative Clustering, Spectral Clustering, DBSCAN, and Affinity Propagation

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Springboard Data Science Bootcamp Unit 15 Case Study on Clustering - This was an exercise on applying clustering algorithms to a dataset containing wine offers and wine transactions, and the goal was the perform customer segregation to identify common customer patterns and thereby be able to perform more insightful targeting of customers. The ex…

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Clustering Case Study - Customer Segmentation with K-Means - Tier 1.ipynb		Clustering Case Study - Customer Segmentation with K-Means - Tier 1.ipynb
Clustering Case Study - Customer Segmentation with K-Means - Tier 3.ipynb		Clustering Case Study - Customer Segmentation with K-Means - Tier 3.ipynb
WineKMC.xlsx		WineKMC.xlsx