[Documentation Update]: Job satisfaction analysis model update

[lkksharma]

Is there an existing issue for this?

• I have searched the existing issues

Issue Description

The Job satisfaction analysis only uses one model i.e. the RandomForest to predict the output. The main python notebook itself, has more detailed models listed.

Suggested Change

I wish to add other models and also include the comparison in accuracy amongst those models so as to give a better picture along with a more accurate data prediction. My aim would be mainly to add SVM and Logistic Regression to the testing and try other models as experimentation if time permits along with hyper-parameter tuning suited for the current computational capacity.

Rationale

People visiting the job satisfactory survey analysis might think that the file is not that well worked on. ALong with that the predictions that file offers is not tested, which it would be if the above issue is implemented.

Urgency

High

Record

• I agree to follow this project's Code of Conduct
• I'm a GSSOC contributor
• I want to work on this issue
• I'm willing to provide further clarification or assistance if needed.

[github-actions]

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 or additional information, feel free to add them here. Your contributions are highly appreciated! 😊

You can also check our CONTRIBUTING.md for guidelines on contributing to this project.

[sanjay-kv]

This should be the integration to existing streamlit not a new one,

[github-actions]

This issue has been automatically closed because it has been inactive for more than 30 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!