What are some common supervised learning techniques?

What are some common supervised learning techniques?

Common supervised learning techniques include linear regression, logistic regression, decision trees, and support vector machines.

Can you explain how decision trees work?

Decision trees split data into branches based on feature values, making decisions at each node until a final output is reached.

What are the advantages of using logistic regression?

Logistic regression is simple, interpretable, and effective for binary classification problems, providing probabilities for outcomes.

How do I choose the right technique for my dataset?

Choosing the right technique depends on the data size, feature types, and the problem's nature. Experimentation is key.