Predict next Sequence of numbers Using LSTM #860
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Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊 |
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@Niketkumardheeryan, @invigorzz313 I have resolved the entire file and added new outputs, Please review and merge it. |
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@vivekvardhan2810 For each PR, a new branch must be created first and then commit to it. Avoid pushing changes directly to master branch. |
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Fixed: #806
Here, I have Taken Long Term Short Memory (LSTM) approach with importing libraries like numpy, pandas and PyTorch.
Loaded the dataset (Created on my own self) based on the airline passengers like monthly, number of passengers on that date.
Done Data Preprocessing, Split the data into testing and training set, Defined the LSTM Model, Trained the model, Evaluated and Got the final result.
The model's performance is evaluated, demonstrating its capability to generate sequences that follow the learned pattern from the training data.
Created a README file with the step wise and kept Output (Final Result).
I have done with this issue. Kindly Review and Merge my Pull Request.
I have resolved file and added new outputs.