minimum-covariance

There are 0 repository under minimum-covariance topic.

• nafiul-araf / Anomaly-Detection

  Anomaly detection (also known as outlier analysis) is a data mining step that detects data points, events, and/or observations that differ from the expected behavior of a dataset. A typical data might reveal significant situations, such as a technical fault, or prospective possibilities, such as a shift in consumer behavior.

  anomaly-detectionpyodstatistical-analysiszscoreoutliersknn-classificationiforest-modelinliersanomoly-scoreminimum-covariancelocal-outlier-factorone-class-svmvisualizationneural-networkcnn-kerasautoencoder-neural-network
  Language:Jupyter Notebook 3