Basic AI Algorithms Explained

This post explains basic AI algorithms including decision trees, linear regression, and k-nearest neighbors. It discusses how decision trees work, the types of decision trees, advantages and disadvantages of decision trees. It also explores linear regression, including the basics, types, benefits, and limitations. Finally, it introduces k-nearest neighbors and explains how it works, its advantages, and disadvantages.