Mall Customer Segmentation: Machine Learning with K-Means ClusteringMall Customer Segmentation: Machine Learning with K-Means Clustering
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šŸ›ļø Mall Customer Segmentation Project
Built an end-to-end machine learning solution to segment customers using K-Means clustering based on demographics and spending behaviour.
šŸ” Performed data cleaning, pre-processing, and exploratory data analysis (EDA) šŸ“Š Applied K-Means clustering with the Elbow Method to identify optimal customer segments 🧩 Engineered features to improve clustering performance šŸ“ˆ Developed an interactive dashboard using Plotly Dash for real-time segment exploration
šŸ’” Identified high-value and low-value customer groups, enabling targeted marketing and improved customer engagement strategies
šŸ› ļø Tools Used: Python, Pandas, Scikit-learn, Plotly Dash
šŸš€ Delivered a business-focused solution for customer segmentation and data-driven decision-making
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