Unsupervised learning in real world
Which of the following examples can be solved with unsupervised learning?
Answer the question
A list of tweets to be classified based on their sentiment, the data has tweets associated with a positive or negative sentiment.
A spam recognition system that marks incoming emails as spam, the data has emails marked as spam and not spam.
Segmentation of learners at DataCamp based on courses they complete. The training data has no labels.
Take Hint (-15xp)