ceo21ckim/Anomaly-Detection-Tutorial
This Repository includes Anomaly Detection tutorials and various information related to Anomaly Detections.
This project provides tutorials and information to help you identify unusual patterns or outliers in your data. It helps you understand and apply methods to detect anomalies, taking in various types of data like images, graphs, or time-series measurements. You would use this if you are a data scientist, analyst, or engineer working to spot rare events, defects, or fraudulent activities.
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Use this if you need to learn about different techniques for anomaly detection and see them applied to real-world datasets.
Not ideal if you are looking for a plug-and-play software tool for immediate anomaly detection without understanding the underlying methods.
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Jupyter Notebook
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Last pushed
Feb 16, 2024
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