Anomalies_Detection

Basic implementation of time-series anomalies detection using forecasting, Kleinburg's Algorithm for Burst Detection, and Pytorch implementation of Autoencoder.

Slides for Shopee x Data Science BKK

Repository for [Shopee x Data Science BKK] and [DSSG x Data Science BKK]

• Anomalies_Detection.ipynb - notebook for workshop
• datasets/ - Example data from Numenta Anomaly Benchmark (https://github.com/numenta/NAB)

Resources for Implementation

• burst_detection
• pytorch
• statsmodels
• sklearn

Research Papers

• Bursty Algorithm
• Timeseries Anomaly Detection