This Python code utilizes LSTM neural networks to forecast stock prices for the next 30 days based on historical data from Netflix (NFLX). It preprocesses the dataset, trains the LSTM model, and plots both actual and predicted stock prices, aiding in stock market prediction and analysis.
active 2024-03-21 → 2024-09-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 173 days from 2024-03-21 to 2024-09-09. 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.
- 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 |
|---|---|---|---|---|
| MohamedBoghdaddy | 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.