how do you deal with the situation that your dataset are very limited

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Accepted Answer

I would utilize techniques such as data augmentation, feature engineering, and leveraging external data sources to overcome the limitations of a small dataset.

Utilize data augmentation techniques to artificially increase the size of the dataset (e.g. flipping, rotating, or cropping images).
Perform feature engineering to create new variables that may provide additional insights or predictive power.
Leverage external data sources to supplement the existing dataset and provide additional context or information.
Use transfer learning techniques to leverage pre-trained models and adapt them to the limited dataset.
Apply regularization techniques to prevent overfitting and improve generalization performance.

how do you deal with the situation that your dataset are very limited

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