Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the provided examples, supervised learning algorithms can make predictions or classifications on new, unseen data. It is widely used in tasks like spam detection, sentiment analysis, and image recognition.
Dimensionality Reduction is the process of reducing the number of variables or features in a dataset while retaining its essential information. By eliminating irrelevant…
