Edité par Packt Publishing, Limited, 2019
ISBN 10 : 1788629159 ISBN 13 : 9781788629157
Langue: anglais
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
EUR 13,14
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EUR 12,92
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 39,25
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Ajouter au panierEtat : New. In.
Edité par Packt Publishing 2019-05, 2019
ISBN 10 : 1788629159 ISBN 13 : 9781788629157
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 35,87
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Ajouter au panierPF. Etat : New.
Edité par Packt Publishing 5/31/2019, 2019
ISBN 10 : 1788629159 ISBN 13 : 9781788629157
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 37,85
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Ajouter au panierPaperback or Softback. Etat : New. Hands-On Time Series Analysis with R 1.68. Book.
Edité par Packt Publishing Limited, GB, 2019
ISBN 10 : 1788629159 ISBN 13 : 9781788629157
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 49,64
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. Build efficient forecasting models using traditional time series models and machine learning algorithms.Key FeaturesPerform time series analysis and forecasting using R packages such as Forecast and h2oDevelop models and find patterns to create visualizations using the TSstudio and plotly packagesMaster statistics and implement time-series methods using examples mentionedBook DescriptionTime series analysis is the art of extracting meaningful insights from, and revealing patterns in, time series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series.This book explores the basics of time series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data and extract meaningful information from it using both descriptive statistics and rich data visualization tools in R such as the TSstudio, plotly, and ggplot2 packages. The later section of the book delves into traditional forecasting models such as time series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also cover advanced time series regression models with machine learning algorithms such as Random Forest and Gradient Boosting Machine using the h2o package.By the end of this book, you will have the skills needed to explore your data, identify patterns, and build a forecasting model using various traditional and machine learning methods.What you will learnVisualize time series data and derive better insightsExplore auto-correlation and master statistical techniquesUse time series analysis tools from the stats, TSstudio, and forecast packagesExplore and identify seasonal and correlation patternsWork with different time series formats in RExplore time series models such as ARIMA, Holt-Winters, and moreEvaluate high-performance forecasting solutionsWho this book is forHands-On Time Series Analysis with R is ideal for data analysts, data scientists, and all R developers who are looking to perform time series analysis to predict outcomes effectively. A basic knowledge of statistics is required; some knowledge in R is expected, but not mandatory.
EUR 35,56
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EUR 36,97
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 44,74
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Ajouter au panierEtat : New. This book introduces you to time series analysis and forecasting with R this is one of the key fields in statistical programming and includes techniques for analyzing data to extract meaningful insights. You will explore methods, such as prediction with ti.
Edité par Packt Publishing Limited, GB, 2019
ISBN 10 : 1788629159 ISBN 13 : 9781788629157
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 53,61
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. Build efficient forecasting models using traditional time series models and machine learning algorithms.Key FeaturesPerform time series analysis and forecasting using R packages such as Forecast and h2oDevelop models and find patterns to create visualizations using the TSstudio and plotly packagesMaster statistics and implement time-series methods using examples mentionedBook DescriptionTime series analysis is the art of extracting meaningful insights from, and revealing patterns in, time series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series.This book explores the basics of time series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data and extract meaningful information from it using both descriptive statistics and rich data visualization tools in R such as the TSstudio, plotly, and ggplot2 packages. The later section of the book delves into traditional forecasting models such as time series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also cover advanced time series regression models with machine learning algorithms such as Random Forest and Gradient Boosting Machine using the h2o package.By the end of this book, you will have the skills needed to explore your data, identify patterns, and build a forecasting model using various traditional and machine learning methods.What you will learnVisualize time series data and derive better insightsExplore auto-correlation and master statistical techniquesUse time series analysis tools from the stats, TSstudio, and forecast packagesExplore and identify seasonal and correlation patternsWork with different time series formats in RExplore time series models such as ARIMA, Holt-Winters, and moreEvaluate high-performance forecasting solutionsWho this book is forHands-On Time Series Analysis with R is ideal for data analysts, data scientists, and all R developers who are looking to perform time series analysis to predict outcomes effectively. A basic knowledge of statistics is required; some knowledge in R is expected, but not mandatory.
EUR 38,80
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Ajouter au panierEtat : New.
Vendeur : Best Price, Torrance, CA, Etats-Unis
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Toscana Books, AUSTIN, TX, Etats-Unis
EUR 47,71
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Ajouter au panierPaperback. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Vendeur : Arcadia Books, Inc., Hoschton, GA, Etats-Unis
EUR 20,17
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Ajouter au panierSoft cover. Etat : Very Good. The spine tilts / curves slightly. The covers have some light wear and minor creasing. The pages are free from markings and highlighting. Nice overall. See pictures for more details.
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
EUR 28,08
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Ajouter au panierpaperback. Etat : New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Ajouter au panierPaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 44,90
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 39,91
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par Packt Publishing Limited, 2019
ISBN 10 : 1788629159 ISBN 13 : 9781788629157
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 45,11
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 953.
Edité par Packt Publishing, Limited, 2019
ISBN 10 : 1788629159 ISBN 13 : 9781788629157
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 47,41
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Ajouter au panierEtat : New. Print on Demand pp. 344.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 56,67
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.