Understanding supervised learning
Supervised learning is primarily used for classification and regression tasks, enabling models to make predictions based on labeled training data. Common applications include image recognition, spam detection, medical diagnosis, and financial forecasting. It relies on the availability of high-quality labeled datasets, making data preparation a critical step in the supervised learning process. Supervised learningis a…