Grid Search, Hyperparameter Tuning, Machine Learning, Data Science, Fine Tuning.
applications across various domains and machine learning algorithms: 1. Neural Networks: In deep learning, Grid Search is used to tune hyperparameters such as learning rate, batch size, dropout rate, and network architecture. It helps optimize the performance of neural networks on tasks such as