This week you explored the nature of time series data, and you saw some of the more common attributes of them, including things like seasonality and trend. You looked at some statistical methods for predicting time series data also.

Next week you're going to start to look into using DNNs for time series classification, including the important tasks of understanding how to break up a time series into training and validation data!