The trend describes the general tendency of the values to go up or down as time progresses. Given a certain time period, you can see if the graph is following an upward/positive trend, downward/negative trend, or just flat. For instance, the housing prices in a good location can see a general increase in valuation as time passes.
This week you explored the nature of time-series data, and you saw some of its more common attributes such as seasonality and trend. You also looked at some statistical methods for predicting time series data. Next week, you're going to start to look into using DNNs for time series classification, including the important task of understanding how to break up a time series into training and validation data.Mark as completedLikeDislikeReport an issue