With Hands-On Time Series Analysis with R, perform time series analysis and forecasting using R packages such as Forecast and h2o. Develop models and find patterns to create visualizations using the TSstudio and plotly packages. (Limited-time offer)
Table of Contents
- Introduction to Time Series Analysis and R
- Working with Date and Time Objects
- The Time Series Object
- Working with zoo and xts Objects
- Decomposition of Time Series Data
- Seasonality Analysis
- Correlation Analysis
- Forecasting Strategies
- Forecasting with Linear Regression
- Forecasting with Exponential Smoothing Models
- Forecasting with ARIMA Models
- Forecasting with Machine Learning Models
Download Free PDF / Read Online
Author(s): Rami Krispin
Publisher: Packt Publishing
Published: May 30, 2019
Format(s): Online
File size: –
Number of pages: 448
Download / View Link(s): This offer has ended.
Free as of 08/07/2020
Publisher: Packt Publishing
Published: May 30, 2019
Format(s): Online
File size: –
Number of pages: 448
Download / View Link(s): This offer has ended.
Free as of 08/07/2020