github-actions[bot]
commented
2 days ago Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊
Note: I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.
You can also check our CONTRIBUTING.md for guidelines on contributing to this project.
We are here to help you on this journey of opensource, any help feel free to tag me or book an appointment.
sanjay-kv
Is there an existing issue for this?
Feature Description
To enhance the existing stock price prediction project by integrating a Gated Recurrent Unit (GRU) model alongside the existing Long Short-Term Memory (LSTM) model. This will allow for a comparative analysis of the performance of both models on the same dataset.
Use Case
Enhanced Predictive Analysis: Integrating a GRU model into the stock price prediction project will significantly enhance predictive analysis capabilities. By comparing GRU with the existing LSTM model, users can identify which model offers better accuracy and performance for predicting stock prices based on historical data. This comparison will allow for more informed decision-making when choosing the appropriate model for similar time-series forecasting tasks
Benefits
Integrating the GRU model will improve prediction accuracy, offer a faster and more efficient alternative to LSTM, and provide users with greater flexibility for model selection. The feature enhances the project's versatility, making it applicable to broader time-series forecasting tasks and fostering community engagement through comparative analysis.
Add ScreenShots
No response
Priority
High
Record