Skip to content

Latest commit

 

History

History
6 lines (4 loc) · 312 Bytes

README.md

File metadata and controls

6 lines (4 loc) · 312 Bytes

S&P 500 Index Anomaly Detection

Machine Learning Algorithm - LSTM Autoencoders

Anomaly detection refers to the task of finding/identifying rare events/data points. Autoencoders Neural Networks try to learn data representation of its input. The encoding should allow for output similar to the original input.