Unsupervised learning

Unsupervised learning, also known as unsupervised machine learning, uses machine learning (ML) algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns or data groupings without the need for human intervention.

🗃Anomaly detection

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📄️Finding outliers

Outlier detection is identification of data points that are significantly different from other values in the data set. For example, outliers could be errors or unusual entities in a data set. Outlier detection is an unsupervised machine learning technique, there is no need to provide training data.