This video on Multivariate Time Series Forecasting In R will cover the fundamentals of Time Series Analysis. Multivariate Time Series Forecasting has more than one time-dependent variable and each variable depends on its past values and also on other variables. Hence can be used for forecasting future values. We’ll be understanding this in R language.

R is one of the programming languages that is experiencing continuous growth in today’s time. It is platform independent or cross-platform programming language i.e. it can be used for any operating system i.e. Windows, Mac or Linux. Most importantly it an open source programming language which makes its accessibility much easier for users. Now-a-days it is mostly used for Machine Learning applications.

R provides around 10,000 packages for data science and machine learning applications and it’s continuously improving. R also allows us to perform Data Wrangling. Fun Fact – R is also known as the language of statistics.

Following pointers will be covered in this video

  • 00:00:00 Introduction
  • 00:01:10 What is Multivariate Time Series Analysis
  • 00:12:42 How Do we Model the data
  • 00:20:03 Feature Engineering
  • 00:29:00 Model Building
  • 00:39:40 Demo

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Multivariate Time Series Forecasting In R | Data Analytics With R
2.75 GEEK