This repository implements a simple recurrent neural network (RNN) for stock price prediction using principal component analysis (PCA) for dimensionality reduction. The model is trained on the closing price of Infosys stock data and evaluated on its ability to predict future prices. Developed with https://github.com/Kash1r
active 2024-02-15 → 2024-02-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-02-15 to 2024-02-15. Pushes: 4 total, peak 4 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.
- 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 |
|---|---|---|---|---|
| SamH135 | 4 | 4 | 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.