Title Getting started with time series forecasting in Python. [O'Reilly electronic resource]

Edition

[First edition].

Publication Info.

[Place of publication not identified] : Manning Publications, [2022]

To Access:
Available for O'Reilly for Public Libraries

Bookmark link: https://library.naperville-lib.org:444/record=b3141610~S1

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Description	1 online resource (1 video file (34 min.)) : sound, color.
Playing Time	003400
Description	digital rdatr
	video file rdaft
	Instructional films lcgft
Performer	Marco Peixeiro, presenter.
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.
Subject	Time-series analysis -- Data processing.
	Time-series analysis -- Computer programs.
	Python (Computer program language)
	Série chronologique -- Informatique.
	Python (Langage de programmation)
	Python (Computer program language)
	Time-series analysis -- Computer programs.
	Time-series analysis -- Data processing.
Genre	Webcast
	Instructional films.
	Internet videos.
	Nonfiction films.
	Instructional films.
	Nonfiction films.
	Internet videos.
	Films de formation.
	Films autres que de fiction.
	Vidéos sur Internet.
Added Author	Peixeiro, Marco, presenter.
	Manning (Firm), publisher.
Standard No.	10000MNHV202213

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