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