This repository contains the implementation of a supervised machine learning pipeline as part of the EC 9560: Data Mining course project. The project focuses on training and evaluating machine learning models using the Water Potability Dataset to classify whether water is potable (safe for drinking) based on various chemical attributes.
active 2025-01-18 → 2025-01-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-18 to 2025-01-18. Pushes: 1 total, peak 1 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 |
|---|---|---|---|---|
| malithMk2000 | 1 | 1 | 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.