does bootstrapping optimize the hyperparameters of the model in python

Bootstrapping does not directly optimize the hyperparameters of a model. Bootstrapping is a resampling technique used for estimating the statistical properties of a model, such as bias and variance. Hyperparameter optimization is usually done using techniques like grid search, random search, or Bayesian optimization. These methods involve searching through a hyperparameter space to find the best set of hyperparameters that optimize the performance of the model. Bootstrapping can be used in combination with hyperparameter optimization techniques to assess the stability and generalizability of the selected hyperparameters.