MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models

**MetaSklearn** is a flexible and extensible Python library that brings metaheuristic optimization to 
hyperparameter tuning of scikit-learn models. It provides a seamless interface to optimize hyperparameters 
using nature-inspired algorithms from the Mealpy library.
It is designed to be user-friendly and efficient, making it easy to integrate into your machine learning workflow.