dmeoli/OnlineRetail
Data Mining project 2020/2021 @ University of Pisa
This project helps retail businesses understand their customers better by analyzing sales transaction data. It takes raw online retail sales records and produces insights into customer segments, spending habits, and purchasing patterns. A retail analyst, marketing manager, or business intelligence specialist could use these results to inform strategies.
No commits in the last 6 months.
Use this if you need to transform raw online retail transaction data into actionable customer profiles and segmentation to drive marketing or sales strategies.
Not ideal if your primary goal is real-time fraud detection or inventory management, as this focuses on customer behavior analysis.
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Jupyter Notebook
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Last pushed
Mar 09, 2021
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