Classification is a type of supervised learning. Labelled data is available on which a classifier is trained and later the trained model is used to predict the unlabelled data.
Some Applications of classification:
1. Finding Spam vs Non-Spam mails.
2. Fradulent Text Transactions.
3. Recommendation Systems.
4. Relevance Feedback.
5. Which links to crawl.
-Rashmi Dubey.
