Time Series Analysis – 2 | Time Series in R | ARIMA Model Forecasting | Data Science | Simplilearn

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This Time Series Analysis – 2 in R tutorial will help you understand what is ARIMA model forecasting, what is correlation, and auto-correlation. You will also see a use case implementation in which we forecast sales of air tickets using ARIMA. Finally, we will also look at how to validate a model using Ljung-Box text. Let’s begin this time series in R video!

The topics covered in this video on time series in R are:
Introduction 00:00:00
What Is Time Series 00:00:36
Introduction to ARIMA Model 00:03:04
Auto Correlation and Partial Auto Correlation 00:08:20
Use Case on ARIMA 00:10:03
Model validating using Ljung-Box text 00:15:08

Link to Time Series Analysis Part-1: https://www.youtube.com/watch?v=gj4L2isnOf8

You can also go through the slides here: https://goo.gl/9GGwHG

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