Pegah-Ardehkhani/Customer-Segmentation
Customer Personality Analysis Using Clustering
Implements K-means and hierarchical clustering with RFM (Recency, Frequency, Monetary) segmentation to partition customers into distinct behavioral groups. Includes data preprocessing, dimensionality reduction via PCA, and elbow method optimization for cluster selection. Delivered as a Jupyter notebook with Google Colab integration for reproducible analysis on public customer personality datasets.
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Jupyter Notebook
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MIT
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Last pushed
Dec 10, 2024
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