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Getting Started with Time Series Forecasting in Python /

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.

Bibliographic Details
Main Author: Peixeiro, Marco (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Manning Publications, 2022.
Edition:1st edition
Subjects:
Electronic videos.
Online Access:Connect to this electronic resource
Description
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.
Physical Description:1 online resource (1 video file, approximately 33 min.)
Format:Mode of access: World Wide Web.