[Documentation Update]: Adding importance of data cleaning and tools used for it in the readme

[shravya312]

Is there an existing issue for this?

• I have searched the existing issues

Issue Description

Data cleaning is one of the important part of the machine learning project

Suggested Change

During surveys there are possibillity of duplicate data.Its a waste of resources to make predictions on the same data.
Sometimes Details told to fill in the survey will be left blank thats call NULL. these should be treated before starting predicted
So people should be aware of data cleaning

Rationale

It help people to understand why data cleaning's important and gain insights on how to do it

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.

[github-actions]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[sanjay-kv]

i think the current readmen is pretty long enough, i dont think this is required. feel free to raise more issues.

[shravya312]

Okay sure

[Ayesha480]

please assign the lable i want to work on it

[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!