The goal was to find patterns in the data without trying to make predictions. Performed unsupervised learning in R with basic clustering(k-means) & dimensionality reduction specifically PCA so as to get some insights from the data. This project is useful in planning better marketing strategies.
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The goal was to find patterns in the data without trying to make predictions. Performed unsupervised learning in R with basic clustering(k-means) & dimensionality reduction specifically PCA so as to get some insights from the data. This project is useful in planning better marketing strategies.
Sofiaabi/Market-Segmentation-EDA-PCA-Kmeans-
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The goal was to find patterns in the data without trying to make predictions. Performed unsupervised learning in R with basic clustering(k-means) & dimensionality reduction specifically PCA so as to get some insights from the data. This project is useful in planning better marketing strategies.
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