📃: Adding ML model for HyperParameter Tuning including Resources #141
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good first issue
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🔴 Title : Hyperparameter Tuning Resources
🔴 Aim : To provide a comprehensive collection of resources related to hyperparameter tuning, including tutorials, articles, and tools, to assist developers in optimizing their machine learning models.
🔴 Brief Explanation : The resources will cover various aspects of hyperparameter tuning, such as techniques (grid search, random search, Bayesian optimization), best practices, and common challenges. The goal is to help developers make informed decisions and improve the performance of their models.
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