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.
For time series data, methods studied and implemented were: