Rockerstop
cluster analysis and segmentation
We need a Python-based machine learning model to segment Amazon products into meaningful groups using product attributes such as price, ratings, review count, category, and brand popularity.
The task involves cleaning and preprocessing product data (CSV format), performing exploratory data analysis, and applying K-Means clustering (with Elbow method and Silhouette score) to identify 3–6 product segments.
Dimensionality reduction using PCA is preferred to visualize clusters clearly. The fin
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