Our team wanted to start to introduce the concept of time series and forecasting in R. This first video is an intro to the time series object in R. It will go over the various parameters the time series object has and discuss some of the nuances that can be defined in those parameters. We will be focusing on creating an entire series that discusses more complex models like ARIMA, ETS and other forecasting models that can be used to better predict time series. If you have any questions on R or seasonal forecasting, please feel free to reach out! If You're interested in reading more about data science:
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