https://github.com/saeed-dev2/anomaly-detection-gaussian-model
Anomaly detection using Multivariate Gaussian distribution. This project implements a probabilistic model to identify outliers in multivariate data based on statistical thresholds. Evaluation is performed using cross-validation and F1 score metrics. Ideal for applications in fraud detection, sensor fault analysis, and rare event identification.
https://github.com/saeed-dev2/anomaly-detection-gaussian-model
Last synced: 8 months ago
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Anomaly detection using Multivariate Gaussian distribution. This project implements a probabilistic model to identify outliers in multivariate data based on statistical thresholds. Evaluation is performed using cross-validation and F1 score metrics. Ideal for applications in fraud detection, sensor fault analysis, and rare event identification.
- Host: GitHub
- URL: https://github.com/saeed-dev2/anomaly-detection-gaussian-model
- Owner: Saeed-dev2
- Created: 2025-07-09T08:52:39.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-07-09T09:01:25.000Z (8 months ago)
- Last Synced: 2025-07-09T09:49:13.125Z (8 months ago)
- Language: Jupyter Notebook
- Homepage: https://github.com/Saeed-dev2
- Size: 0 Bytes
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0