When to use supervised or unsupervised learning?

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  • Which are the fundamental criterias for using supervised or unsupervised learning?
  • When is one better than the other?
  • Is there specific cases when you can only use one of them?

Thanks

supervised-learning unsupervised-learning machine-learning criteria
3 Answers

Depends on the data set that you have. If you have target feature in your hand then you should go for supervised learning. If you don't have then it is a unsupervised based problem. Supervised is like teaching the model with examples. Unsupervised learning is mainly used to group similar data, it plays a major role in feature engineering. Thank you..

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