This repository contains the code for a machine learning model built with Logistic Regression to classify fake news. In today's digital age, the rapid spread of misinformation poses a significant challenge. The prevalence of fake news articles can have detrimental effects on society, including influencing public opinion, distorting facts.
active 2023-08-19 → 2024-02-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 174 days from 2023-08-19 to 2024-02-08. Pushes: 1 total, peak 1 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Devank-Garg | 3 | 1 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1Devank-Garg2023-08-19 08:22
- Pull request#1Devank-Garg2023-08-19 08:21
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.