https://github.com/malykhin/anomaly_detection

Anomaly detection in NAB dataset using mxnet and scikit-learn
https://github.com/malykhin/anomaly_detection

anomaly-detection mxnet nab scikit-learn timeseries

Last synced: about 1 year ago
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Anomaly detection in NAB dataset using mxnet and scikit-learn

• Host: GitHub
• URL: https://github.com/malykhin/anomaly_detection
• Owner: malykhin
• Created: 2018-08-12T21:11:56.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-10-17T19:57:50.000Z (over 7 years ago)
• Last Synced: 2025-05-12T21:12:40.196Z (about 1 year ago)
• Topics: anomaly-detection, mxnet, nab, scikit-learn, timeseries
• Language: Jupyter Notebook
• Homepage:
• Size: 2.3 MB
• Stars: 6
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Anomaly detection in NAB dataset.

Experiment with Amazon RDS CPU utilisation.

Methods:

  - scikit-learn K-means

  - scikit-learn IsolationForest

  - scikit-learn OneClassSVM

  - mxnet MLP

  - mxnet LSTM