While gradient boosted algorithms are amazing, they aren't a silver bullet for everything. Especially when you're dealing with a dataset that only has a very small set of labels. For those use-cases you may want to resort to semi-supervised learning techniques instead.

To learn more about label propagation, check the API docs here:
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00:00 Describing the edge case
01:35 When classifiers fail
04:03 Semi supervised
09:42 Applied

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We also host a podcast called Sample Space, which you can find on your favourite podcast player. All the links can be found here:
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