XGB Regressor

[Moddy2024]

Describe your change:

• [x] Add an algorithm?
• [ ] Fix a bug or typo in an existing algorithm?
• [ ] Documentation change?

Checklist:

• [x] I have read CONTRIBUTING.md.
• [x] This pull request is all my own work -- I have not plagiarized.
• [x] I know that pull requests will not be merged if they fail the automated tests.
• [x] This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
• [x] All new Python files are placed inside an existing directory.
• [x] All filenames are in all lowercase characters with no spaces or dashes.
• [x] All functions and variable names follow Python naming conventions.
• [x] All function parameters and return values are annotated with Python type hints.
• [x] All functions have doctests that pass the automated testing.
• [x] All new algorithms have a URL in its comments that points to Wikipedia or other similar explanation.
• [x] If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

[Moddy2024]

@cclauss Hello can you please review this whenever you get time. Thank You

[cclauss]

These are how-to-use XGBoost demonstrations rather than algorithms as defined in CONTRIBUTING.md. Please make sure that future pull requests focus on delivering an algorithm.

[Moddy2024]

These are how-to-use XGBoost demonstrations rather than algorithms as defined in CONTRIBUTING.md. Please make sure that future pull requests focus on delivering an algorithm.

Yes Sir I will make sure of that. Thanks for helping me and teaching me on the way.