Labeled dataset is a dataset with meaningful tags or labels or class for each observation (or rows). These tags can come from observations or asking people or specialists about the data.
Classification and Regression could be applied to labelled datasets for Supervised learning.
Unlabeled data do not have any meaningful tags or labels associated with it.
Supervised learning is a machine learning approach that’s defined by its use of labeled datasets.
These datasets are designed to train or “supervise” algorithms into classifying data or predicting outcomes accurately. Using labeled inputs and outputs, the model can measure its accuracy and learn over time.
Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets.
These algorithms discover hidden patterns in data without the need for human intervention
