Added SSOC23-checkpoint.ipynb

[Vansh912]

Pull Request for DL-Simplified 💡

Issue Title : Store Sales Time Series Forecast

• Info about the related issue (Aim of the project) : To predict sales of product
• Name: Vansh Tiwari
• GitHub ID: Vansh912
• Email ID: [email protected]
• Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) SSOC23

Closes: #issue number that will be closed through this PR

Describe the add-ons or changes you've made 📃

i have added ipynb file for review

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

By making loss in prediction vs loss in validation graph and making comparing models of simple RNN, LSTM, GRU models

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @Vansh912 :)

[abhisheks008]

Please follow the project structure and put your files accordingly.
@Vansh912

[Vansh912]

Okay