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approaches for hyperparameter tuning. Here’s an example code snippet using scikit-learn to perform grid search for hyperparameter tuning: from sklearn.model_selection import GridSearchCV from sklearn.svm import SVC # Define hyperparameters to search param_grid = {'C': [0.1, 1, 10], 'gamma': [0.1,