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This repo outlines a method for differentiating between anomalies and expected outliers using the Microsoft Anomaly Detection API and Binary Classification to assist with Time Series Filtering.
Home Page: https://www.microsoft.com/developerblog/real-life-code/2016/12/15/Carl-Data.html
License: MIT License
Python 3.69%
HTML 1.80%
C# 6.52%
Jupyter Notebook 87.98%
channel-sensor-error-detection's Introduction
Channel Sensor Error Detection
Methods:
Notebook for time series analysis and anomaly detection
Apps
Code for ingesting channel data and preforming realtime classification and visualization using Event Hubs, Stream Analytics and PowerBI
Data
Anonymized Sample Velocity Channel Data
channel-sensor-error-detection's People
Contributors