shaadclt/CNN-Based-Anomaly-Detection-in-Time-Series-Data
This project demonstrates how to build a Convolutional Neural Network (CNN) model for anomaly detection in time series data using Keras. It is implemented in Google Colab and uses a CSV dataset containing time series values. The model detects anomalies based on reconstruction errors by setting a dynamic threshold.
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Nov 13, 2024
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