What are some effective techniques for supervised learning?

What are some effective techniques for supervised learning?

Some effective techniques include linear regression, decision trees, support vector machines, and neural networks.

Can you explain how decision trees work?

Decision trees split the data into subsets based on feature values, creating a tree-like model for decision making.

What are the advantages of using neural networks?

Neural networks can model complex relationships and patterns in data, making them powerful for tasks like image and speech recognition.

How do I choose the right technique for my dataset?

Consider the size, type, and complexity of your dataset, as well as the problem you're trying to solve.