by K-Dense-AI
The statsmodels skill helps you use statsmodels for data analysis in Python when you need statistical models, inference, and diagnostics. It fits OLS, GLM, discrete outcomes, time series, and mixed models, with coefficient tables, p-values, confidence intervals, and assumption checks. Use this statsmodels guide for econometrics, forecasting, and defensible reporting.
by K-Dense-AI
neurokit2 is a Python biosignal processing skill for analyzing ECG, EEG, EDA, RSP, PPG, EMG, and EOG data. Use it to clean signals, detect peaks and events, extract HRV and complexity features, and support scientific workflows in psychophysiology, clinical analysis, and human-computer interaction.
by K-Dense-AI
aeon is a scikit-learn-compatible Python skill for time series machine learning. Use it for classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and other temporal data workflows. It fits univariate and multivariate analysis when you need specialized methods beyond generic tabular ML.
