Book Image

Hands-On Time Series Analysis with R

By : Rami Krispin
Book Image

Hands-On Time Series Analysis with R

By: Rami Krispin

Overview of this book

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 foundation 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 using both descriptive statistics and rich data visualization tools in R including the TSstudio, plotly, and ggplot2 packages. The book then 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 work on 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 developed the skills necessary for exploring your data, identifying patterns, and building a forecasting model using various traditional and machine learning methods.
Table of Contents (14 chapters)

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

R Machine Learning Projects
Sunil Kumar Chinnamgari

ISBN: 978-1-78980-794-3

  • Explore deep neural networks and various frameworks that can be used in R
  • Develop a joke recommendation engine to recommend jokes that match users’ tastes
  • Create powerful ML models with ensembles to predict employee attrition
  • Build autoencoders for credit card fraud detection
  • Work with image recognition and convolutional neural networks
  • Make predictions for casino slot machine using reinforcement learning
  • Implement NLP techniques for sentiment analysis and customer segmentation

Machine Learning with R
Brett Lantz

ISBN: 978-1-78829-586-4

  • Discover the origins of machine learning and how exactly a computer learns by example
  • Prepare your data for machine learning work with the R programming...