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These 5 Python libraries turned me into a better data analyst than Excel ever could

The power of Python trumps Excel workbooks.
IEEE

A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection

Multivariate time series prediction (MTSP) stands as a significant and challenging frontier in the data science domain, garnering considerable interest among researchers. Extreme learning machine (ELM ...
GitHub

KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

InterFusion is an unsupervised MTS anomaly detection and interpretation method. It's core idea is to model the normal patterns of MTS using HVAE with jointly trained hierarchical stochastic latent ...
GitHub

MtsCID: Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies

Multivariate time series anomaly detection is essential for failure management in web application operations, as it directly influences the effectiveness and timeliness of implementing remedial or ...