what is the difference between supervised and unsupervised learning ?

In Supervised learning, you train the machine using data which is well “labeled.”
Unsupervised learning is a machine learning technique, where you do not need to supervise the model.
Supervised learning allows you to collect data or produce a data output from the previous experience.
Unsupervised machine learning helps you to finds all kind of unknown patterns in data.
Regression and Classification are two types of supervised machine learning techniques.
Clustering and Association are two types of Unsupervised learning.
In a supervised learning model, input and output variables will be given while with unsupervised learning model, only input data will be given