Update cats_vs_dogs_classification.ipynb

[Kaaviyaa2005]

I have used Xception model to classify the cats and dog images. I have enhanced the code by using early stopping. The accuracy of the code is 98.9%. the previous one had low accuracy

Related Issue

• Info about the related issue

• CSSOC 2024 Participant

• Contributor

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

Describe the add-ons or changes you've made

Give a clear description of what have you added or modifications made

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?

Describe how it has been tested
Describe how have you verified the changes made

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.

[welcome]

Hello there! 👋 Welcome to the project! 💖
Thank you and congrats 🎉 for opening your first pull request. Please adhere to our Code of Conduct. 🙌🏻 We will get back to you as soon as we can. 😄

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[Kaaviyaa2005]

This model has high accuracy

[prathimacode-hub]

Hello @Kaaviyaa2005. Cats and Dogs Classification is already done, check here: https://github.com/prathimacode-hub/ML-ProjectKart/tree/main/Cats%20Vs%20Dogs%20Classification. First and foremost, you have to work on issue that's not present and follow guidelines. You can't do your PR without getting your issue assigned. Else, your effort will be wasted.

Pre-assigned status will help avoid such mishaps of redundancy and add only what's required in the repository. Communication is important. And go through the README file and CONTRIBUTING GUIDELINES, there is a process and structure to follow. Just 1 notebook file is never sufficient to call it as a project.

And, when you're working on ML/Data Science projects, you should use 3-4 algorithms, model it and show the comparison with accuracy and score. All the details, structure, format, process have been instructed in the repository. Without reading never attempt it directly, it's not a good practice.

[Kaaviyaa2005]

Thank you for the guidance. I will make sure to review the project guidelines and follow the instructions diligently. Your input is greatly appreciated