How can I optimize my machine learning model?
There are several strategies to optimize your model, such as hyperparameter tuning, feature selection, and using ensemble methods.
What is hyperparameter tuning?
Hyperparameter tuning involves adjusting the parameters that govern the training process, like learning rate and batch size, to improve model performance.
Can you suggest some tools for hyperparameter tuning?
Sure! Popular tools include GridSearchCV, RandomizedSearchCV, and libraries like Optuna and Hyperopt.
What is feature selection and why is it important?
Feature selection is the process of selecting a subset of relevant features for model training, which can improve accuracy and reduce overfitting.
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