What are some techniques for optimizing machine learning models?

What are some techniques for optimizing machine learning models?

There are several techniques for optimizing machine learning models, including hyperparameter tuning, feature selection, and using ensemble methods.

Can you explain hyperparameter tuning?

Hyperparameter tuning involves adjusting the parameters that govern the training process, such as learning rate and batch size, to improve model performance.

What tools can I use for hyperparameter tuning?

You can use tools like Grid Search, Random Search, and libraries like Optuna or Hyperopt for hyperparameter tuning.

How does feature selection impact model performance?

Feature selection helps in reducing overfitting, improving accuracy, and decreasing training time by selecting the most relevant features.