Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Punto Poste 5.49 € Punto Poste 5.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 € Corriere Bartolini 4.49 € Punto Bartolini 3.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Practical Time Series Forecasting with Python

Name: Practical Time Series Forecasting with Python
Brand: Axelrod Schnall Publishers
SKU: 50345597
Price: 32.49 EUR
Availability: InStock
Author: Eric Berger
ISBN: 9780997847963

A Hands-On Guide

Eric Berger

Galit Shmueli

Lingua

Inglese

Libro In brossura

Codice Libristo: 50345597

Casa editrice Axelrod Schnall Publishers, luglio 2025

Practical Time Series Forecasting with Python: A Hands-On Guide provides an applied approach to time... Descrizione completa

Codice Libristo: 50345597

79 b

32.49 €

Magazzino esterno Inviamo tra 10-16 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

LES CANTIQUES DU CORBEAU BARTABAS

In brossura

8.69 €

Christian Krohg (1852-1925) Le Peuple du Nord Catalogue

Rigido

45.89 €

Śledztwo Lem Stanisław

In brossura

9.19 €

Questions pour un·e photographe - Le photo quiz Mathieu OUI

In brossura

16.19 €

A Magyar Péter-jelenség Metz Rudolf

Rigido

17.39 €

tempo è una madre. Testo originale a fronte Ocean Vuong

In brossura

30.40 €

La traduccion de la cultura en el sector turistico Soto-Almela Jorge Soto-Almela

Adobe ePub DRM

26.70 €

Hueber dictionaries and study-aids Susanne Kalender

In brossura

25.59 €

QUEL CIRQUE A LUGDUNUM ! Coulon

In brossura

13.19 €

Mein Anoki-Übungsheft. Richtig rechnen 2. Übungsheft Klasse 2

Foglio

5.59 €

PILOT Acroball, KP, BG, fialová

Articoli di cancelleria

2.39 €

50 Number Ones George Strait

CD audio

11.59 €

Aproximacion Funcional a Los Marcadores Discursivos Ana Llopis Cardona

Rigido

70.39 €

Practical Time Series Forecasting with Python: A Hands-On Guide provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications.

The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source Python software to develop effective forecasting solutions that extract business value from time series data.

This edition includes:

Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles
A practical approach to evaluating the performance of forecasting solutions
A business-analytics exposition focused on linking time-series forecasting to business goals
Guided cases for integrating the acquired knowledge using real data
End-of-chapter problems to facilitate active learning
Data, Python code, and instructor materials on companion website
Affordable and globally-available textbook, available in hardcover, paperback, and ebook formats

Practical Time Series Forecasting with Python: A Hands-On Guide is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management.