Supervised Learning Algorithms
Supervised learning algorithms are a type of machine learning technique where the model is trained on labeled data, meaning each input data point is accompanied by the correct output. The algorithm learns to map input data to the correct output during the training process, allowing it to make predictions on new, unseen data. Some common supervised learning algorithms include linear regression, decision trees, support vector machines, and neural networks.