# Scripts

Bundled resources for hyperparameter-tuner skill

- [ ] grid_search.py: Implements grid search algorithm for hyperparameter tuning.
- [ ] random_search.py: Implements random search algorithm for hyperparameter tuning.
- [ ] bayesian_optimization.py: Implements Bayesian optimization algorithm for hyperparameter tuning.
- [ ] hyperparameter_space.py: Defines the search space for hyperparameters.
- [ ] model_trainer.py: Trains the machine learning model with given hyperparameters.
- [ ] evaluation_metrics.py: Calculates performance metrics for the trained model.
- [ ] data_validation.py: Validates the input data for the model.
- [ ] error_handling.py: Handles potential errors during hyperparameter tuning.
