1 online resource (1 video file (34 min.)) : sound, color
Summary
Introductory lesson on time series forecasting in Python. Marco Peixeiro explores the random walk model, MA(q) and AR(p) models. Throughout the lesson, he explores the foundational concept of stationarity, and learn how to use the ACF and PACF plots for forecasting
Performer
Marco Peixeiro, presenter
Notes
Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)