Classification
• Classification sorts examples into one of the many classes.
• It should have discrete input values
• Mostly used in Supervised learning
• Eg- Decision Trees
Regression
• The data is continuous i.e. it doesn’t fall into categories or classes directly
• The values aren’t discrete
• Mostly used in Supervised Learning
• Eg- Logistic and Linear regression
Clustering
• Tries to group a set of objects and find whether there is some relationship between the objects.
• Suggests classes based on data patterns
• Mostly used in Unsupervised learning
• Eg- Kmeans
