Machine learning

Machine learning models can be classified into the following three types based on the task performed and the nature of the output:

1. Regression: The output variable to be predicted is a continuous variable, e.g., the score of a student on a subject.
2. Classification: The output variable to be predicted is a categorical variable, e.g., classifying incoming emails as spam or ham.
3. Clustering: No predefined notion of a label is allocated to the groups/clusters formed, e.g., customer segmentation.

you can classify machine learning models into two broad categories:

1. Supervised learning methods
2. Past data with labels is used for building the model.
3. Regression and classification algorithms fall under this category.
4. Unsupervised learning methods
5. No predefined labels are assigned to past data.
6. Clustering algorithms fall under this category.