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This is a self-paced lab that takes place in the Google Cloud console. Time series forecasting can be framed as a supervised learning problem in which series of data points are indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Analyzing such points allows for a machine learning model to identify patterns present on continuum data.