**Apriori Analysis** is a data mining technique to find frequent itemsets and generate association rules from transactional datasets. This repository implements Apriori in Python, supporting candidate generation, subset pruning, and rule creation. Ideal for market basket and traffic pattern analysis with customizable thresholds.
active 2024-12-07 → 2024-12-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-12-07 to 2024-12-07. Pushes: 12 total, peak 12 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 |
|---|---|---|---|---|
| Muhammad-Ali-Khan9 | 12 | 12 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
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.