1. Supervised learning deals with unlabeled data, while unsupervised learning deals with labelled data. True False

False. Supervised learning deals with labeled data, where the input data is paired with the correct output. The model is trained on this labeled data and then used to make predictions on new, unseen data. On the other hand, unsupervised learning deals with unlabeled data, where the input data does not have any associated output. The model tries to find patterns or structure in the data on its own.