[ENH] interfacing Binomial regressor from sklearn LogisticRegression

[itspriiyanshu]

Reference Issues/PRs

Towards #7

What does this implement/fix? Explain your changes.

Added interface for Binomial Regressor using sklearn.linear_model.LogisticRegression

Does your contribution introduce a new dependency? If yes, which one?

None

Did you add any tests for the change?

None

PR checklist

For all contributions

• I've added myself to the list of contributors with any new badges I've earned :-)
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• The PR title starts with either [ENH], [MNT], [DOC], or [BUG]. [BUG] - bugfix, [MNT] - CI, test framework, [ENH] - adding or improving code, [DOC] - writing or improving documentation or docstrings.

For new estimators

• I've added the estimator to the API reference - in docs/source/api_reference/taskname.rst, follow the pattern.
• I've added one or more illustrative usage examples to the docstring, in a pydocstyle compliant Examples section.
• If the estimator relies on a soft dependency, I've set the python_dependencies tag and ensured
  dependency isolation, see the estimator dependencies guide.

[arnavk23]

@itspriiyanshu Please remove the pycache files. The only files that should be here are regression.rst, __init.py, _sklearn_binomial.py.
Also update pr description. This does not fix the umbrella issue #7 but is towards it. Change Fixes to Towards.

[itspriiyanshu]

@arnavk23 Please have a look, I've implemented the suggested changes. Thank you