Discover frequent itemsets in transaction data with the Apriori algorithm. Efficiently identifies associations between items, crucial for market basket analysis. Python implementation leverages Pandas for data handling and provides actionable insights for optimizing product placements and promotions. 📊💡
active 2024-06-23 → 2024-06-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-06-23 to 2024-06-23. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| KayalvizhiT513 | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.