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Filling in missing data

Replacing or imputing data using the mean or another value

In some cases it may be useful to fill in gaps in data.

A constant such as zero can be used, or often the mean of the feature. However, this technique should be used with caution, as explained further in the video.

For more on dealing with missing data, see the following article.

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Machine Learning for Image Data

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