time-series-analysis
De la autor
Analyzing and forecasting data ordered in time. Covers stationarity and differencing, autocorrelation (ACF and PACF), AR, MA, ARMA, and ARIMA models, the Box-Jenkins methodology, seasonality and SARIMA, forecasting with prediction intervals, and residual diagnostics including the Ljung-Box test. Use when data is indexed by time, when forecasting future values, when detecting trend or seasonality, or when checking whether residuals still carry structure.
Instalare
npx skills add Tibsfox/gsd-skill-creator --skill time-series-analysis -a claude-code
Se instalează în .claude/skills/time-series-analysis/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
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De ce 72
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