GitHub / AtharvKadammm / Market-Basket-Analysis-in-Python-using-Apriori-Algorithm
Market Basket Analysis using Apriori algorithm to discover product association rules and frequent itemsets from retail transaction data. Helps businesses improve product placement, cross-selling strategies, and customer purchasing insights.
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PURL: pkg:github/AtharvKadammm/Market-Basket-Analysis-in-Python-using-Apriori-Algorithm
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 7.92 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 9 days ago
Pushed at: 9 days ago
Last synced at: 9 days ago
Topics: apriori-algorithm, association-rules, data-mining, e-commerce, frequent-itemset, jupyter-notebook, market-basket-analysis, mlxtend, python, recommendation-system, retail-analytics, unsupervised-learning