Added best_random_state_in_random_forest.py file an algorithm to find best random state of random forest classifier

[erenyeager101]

Description of Change

The code is designed to identify the optimal random state for a Random Forest Classifier to maximize its prediction accuracy on a given dataset. It uses the heart.csv dataset. The logic is encapsulated within the function find_best_random_state, which accepts a DataFrame and the name of the target column as arguments.

Describe your change:

Added an algorithm to find the best optimal random state of Random Forest Classifier.

• [x] Add an algorithm?
• [ ] Fix a bug or typo in an existing algorithm?
• [ ] Add or change doctests?
• [ ] 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.
• [ ] All functions have doctests that pass the automated testing.
• [ ] All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
• [x] If this pull request resolves one or more open issues, then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".