iamnasos/Multivariate-Time-Series-Server-Data-Analysis-using-Unsupervised-Machine-Learning-Techniques
View on GitHub ↗Related repositories →Utilized a large multivariate time-series dataset from server operations in a modern 5G network. Developed an autoencoder model with unsupervised machine learning techniques for automatic error detection. The model's performance was evaluated using a separate test set to ensure accuracy and reliability.
active 2025-03-16 → 2025-03-16 (UTC)
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