Anomaly Detection - Time Series

For time series data, methods studied and implemented were:

  • Isolation forest
  • Local Outlier Factor
  • Autoencoders
  • AutoRegressive Integrated Moving Average(ARIMA)
  • Moving Average
  • Z-score analysis.