What are some common models used in machine learning?

What are some common models used in machine learning?

Some common models include linear regression, decision trees, support vector machines, and neural networks.

Can you explain how a decision tree works?

A decision tree splits data into branches based on feature values, leading to decisions or predictions at the leaves.

What are the advantages of using neural networks?

Neural networks can model complex patterns, handle large datasets, and are highly flexible for various tasks.

Are there any disadvantages to using support vector machines?

Yes, SVMs can be computationally intensive and may not perform well with large datasets or noisy data.