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Anomaly detection

Anomaly detection is a technique used to identify uncommon patterns or events in data. It is a form of unsupervised learning that is used to detect outliers, rare events, and anomalies in data sets.

Gaurav Gandhi
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K-fold cross-validation

K-fold cross-validation is an important machine learning technique used in model selection and assessment. It is a technique that allows data to be split into a training and a test set multiple times, with each fold used once as the test set.

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