#91: Scikit-learn 88:Supervised Learning 66: Semi-supervised learning

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The video discusses the code for semi-supervised labeling methods in Scikit-learn in Python.

Timeline
(Python 3.8)

00:00 - Outline of video
00:20 - Open Jupyter notebook
00:30 - Self training classifier: create data
05:48 - Self training classifier: model using .SelfTrainingClassifier()
08:41 - Label propagation: model using .LabelPropagation()
09:56 - Label spreading: model using .LabelSpreading()
10:20 - Ending notes
  1. learndataa
  2. semi-supervised learning
  3. semi-supervised classifier
  4. label propagation
  5. label spreading
  6. supervised machine learning
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Комментарии
Автор

Thank u so much .... Can I send the full code to me please?

BekkariMohammed-dkub
Автор

I Wonder if the high value of the accuracy is really true without overfiting, how we can confirm that

moussaouihassib