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.

Bibliographic Details
Corporate Author: Manning (Firm), publisher (publisher)
Other Authors: Peixeiro, Marco, presenter (presenter)
Format: Video
Language:Inglés
Published: [Place of publication not identified] : Manning Publications [2022]
Edition:[First edition]
Subjects:
Time-series analysis > Data processing.
Time-series analysis > Computer programs.
Python (Computer program language)
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009823036006719
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 (34 min.)) : sound, color

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