Catboost regressor

[AHuzail]

Add CatBoost Regressor Example

[x] Added Algorithm

Changes:

• Added a Python script catboost_regressor.py that implements a CatBoost Regressor using the California Housing dataset.
• Included doctests to validate the data_handling and catboost_regressor functions.
• Used Mean Squared Error (MSE) to evaluate model performance.

Doctests:

• Included for data_handling() and catboost_regressor() functions.

Dependencies:

• catboost, scikit-learn, numpy

Example Output:

Mean Squared Error on Test Set: <calculated_value>

[algorithms-keeper]

Click here to look at the relevant links ⬇️

🔗 Relevant Links

Repository:

• Contributing guidelines
• Project Euler solution guidelines

Python:

• Formatted string literals (f-strings)
• Type hints
• doctest
• unittest
• pytest

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[algorithms-keeper]

As there is no test file in this pull request nor any test function or class in the file machine_learning/catboost_regressor.py, please provide doctest for the function main

[cclauss]

Closing tests_are_failing PRs to prepare for Hacktoberfest