Classification in Machine Learning is a type of supervised learning that involves classifying the new examples based on observed patterns from the previous data. In simple words, if the target variable is discrete then it is a classification problem.
I have listed a few most used classification algorithms in machine-learning:
- Logistic Regression
- Decision trees
- Random forest
- XG boost
Examples of classification in machine learning include:
- Classification of emails as spam or not spam
- Classifying fraudulent and non-fraudulent transactions
If you are interested to learn Machine learning, I would recommend this Machine learning course by Intellipaat.
You can watch this video to know about classification in machine learning: