Getting started with time series forecasting in Python

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.

Detalles Bibliográficos
Autor Corporativo: Manning (Firm), publisher (publisher)
Otros Autores: Peixeiro, Marco, presenter (presenter)
Formato: Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications [2022]
Edición:[First edition]
Materias:
Time-series analysis > Data processing.
Time-series analysis > Computer programs.
Python (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009823036006719
Descripción
Sumario: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.
Descripción Física:1 online resource (1 video file (34 min.)) : sound, color

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