Hands-On Time Series Analysis with R

Hands-On Time Series Analysis with R
Author :
Publisher : Packt Publishing Ltd
Total Pages : 438
Release :
ISBN-10 : 9781788624046
ISBN-13 : 1788624041
Rating : 4/5 (041 Downloads)

Book Synopsis Hands-On Time Series Analysis with R by : Rami Krispin

Download or read book Hands-On Time Series Analysis with R written by Rami Krispin and published by Packt Publishing Ltd. This book was released on 2019-05-31 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Description Time 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 for Hands-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.


Hands-On Time Series Analysis with R Related Books

Hands-On Time Series Analysis with R
Language: en
Pages: 438
Authors: Rami Krispin
Categories: Computers
Type: BOOK - Published: 2019-05-31 - Publisher: Packt Publishing Ltd

GET EBOOK

Build efficient forecasting models using traditional time series models and machine learning algorithms. Key FeaturesPerform time series analysis and forecastin
Hands-On Time Series Analysis with R
Language: en
Pages: 448
Authors: Rami Krispin
Categories: Computers
Type: BOOK - Published: 2019-05-31 - Publisher:

GET EBOOK

Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and forecasti
Hands-on Time Series Analysis with Python
Language: en
Pages: 407
Authors: B V Vishwas
Categories: Computers
Type: BOOK - Published: 2020-08-25 - Publisher: Apress

GET EBOOK

Learn the concepts of time series from traditional to bleeding-edge techniques. This book uses comprehensive examples to clearly illustrate statistical approach
Practical Time Series Forecasting with R
Language: en
Pages: 232
Authors: Galit Shmueli
Categories: Mathematics
Type: BOOK - Published: 2016-07-19 - Publisher: Axelrod Schnall Publishers

GET EBOOK

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential
Hands-On Exploratory Data Analysis with R
Language: en
Pages: 254
Authors: Radhika Datar
Categories: Computers
Type: BOOK - Published: 2019-05-31 - Publisher: Packt Publishing Ltd

GET EBOOK

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key FeaturesSpeed up your data analysis projects using