Enhance LSTM Model with Multiple LSTM and Dense Layers

[deepanshubaghel]

fixes #91

I propose enhancing the existing LSTM model by stacking 3 LSTM layers to capture both short-term and long-term dependencies in sequential data. Dense layers will be added after the LSTM stack for better feature extraction, and dropout regularization will be applied to prevent overfitting. Additionally, we will tune hyperparameters such as LSTM units, dropout rates, and layer configurations to optimize performance.

[github-actions]

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[deepanshubaghel]

@rohitinu6 please review and merge it

[jvedsaqib]

@deepanshubaghel sync with the latest branch and resolve conflicts

[deepanshubaghel]

@deepanshubaghel sync with the latest branch and resolve conflicts

[Mayureshd-18]

@deepanshubaghel Please link the issue using keywords. (fixes/closes..) You can find the detailed info about the same here:
https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword

If needed, please check out merged PRs for reference.

Thanks & regards

[Mayureshd-18]

Loos good to me!

[rohitinu6]

Please update your forked repo

[deepanshubaghel]

@rohitinu6 @Mayureshd-18 Please Review it and merge

[github-actions]

🎉🎉 Thank you for your contribution! Your PR #175 has been merged! 🎉🎉