Answer / Rinki Yadav

To reduce bias in a given dataset, several strategies can be employed. Firstly, gathering data from diverse sources helps ensure the data is representative. Secondly, utilizing techniques such as resampling methods like oversampling the minority class or undersampling the majority class can help balance out the imbalance. Lastly, feature selection and engineering can also help reduce bias by focusing on relevant and unbiased features.

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