How can I improve the accuracy of my AI model?
To improve your AI model's accuracy, consider techniques like data augmentation, hyperparameter tuning, and feature selection.
What is data augmentation and how does it help?
Data augmentation involves creating new training samples by modifying existing ones, which helps the model generalize better.
Can you explain hyperparameter tuning?
Hyperparameter tuning is the process of optimizing the parameters that govern the training process, which can significantly enhance model performance.
What are some common techniques for feature selection?
Common techniques include recursive feature elimination, LASSO regression, and using tree-based models to identify important features.
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