Question

what is the difference between supervised learning and unsupervised learning? Explain with the help of an example. ​

Answer 1

Answer:  To put it simply, supervised learning uses labeled input and output data, while an unsupervised learning algorithm does not. In supervised learning, the algorithm “learns” from the training dataset by iteratively making predictions on the data and adjusting for the correct answer.