In machine learning, classification is a supervised learning concept which basically categorizes a set of data into classes. The most common classification problems are – speech recognition, face detection, handwriting recognition, document classification, etc.

What are the three classification of machine learning?

There are many ways to frame this idea, but largely there are three major recognized categories: supervised learning, unsupervised learning, and reinforcement learning.

What are the examples of classification in machine learning?

Classification predicts the category the data belongs to.

Some examples of classification include spam detection, churn prediction, sentiment analysis, dog breed detection and so on.