aqibsaeed/Anomaly-Detection
Anomaly detection algorithm implementation in Python
This tool helps you automatically find unusual or unexpected data points within your datasets. You provide your data, and it identifies the specific entries that deviate significantly from the norm, helping you spot critical issues or insights. This is ideal for analysts, scientists, and engineers who need to monitor data for anomalies without manual inspection.
129 stars. No commits in the last 6 months.
Use this if you have numerical data where identifying rare, significant deviations or outliers could point to problems like equipment malfunctions, medical issues, or fraudulent activity.
Not ideal if you need to detect anomalies in highly complex, unstructured data like text, images, or audio without a clear numerical representation.
Stars
129
Forks
132
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 02, 2020
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