Multivariate Time Series Forecasting In R | Data Analytics With R | Data Science | Great Learning

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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 the 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. Nowadays 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.

🏁 Topics Covered:
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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