How can I correct biased data in my dataset?
To correct biased data, you can start by identifying the sources of bias and then apply techniques like re-sampling or re-weighting.
What are some common sources of bias in datasets?
Common sources of bias include selection bias, measurement bias, and confirmation bias, often stemming from data collection methods.
Can you explain re-sampling and how it helps?
Re-sampling involves adjusting the dataset by either adding more data points or removing biased ones to create a more balanced representation.
Are there tools available to help with this process?
Yes, there are several tools like Python's Scikit-learn and R's caret package that can assist in correcting biased data.
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