What are advanced parameters in Python machine learning?
Advanced parameters in Python machine learning refer to the settings and configurations that can be fine-tuned to improve model performance.
Can you give examples of these advanced parameters?
Sure! Examples include learning rate, regularization strength, and the number of estimators in ensemble methods.
How do I choose the right values for these parameters?
You can use techniques like grid search, random search, or Bayesian optimization to find optimal parameter values.
What is grid search?
Grid search is a method to systematically work through multiple combinations of parameter values, cross-validating as it goes.
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