Time series is about forecasting. Statistical models are based on underlying assumptions about the data. These incude simple average, moving average, exponential smoothing, and autoregression. Machine learning models don't make these assumptions and inlude the hidden Markov model, ANNs, RNNs, and LSTMs. In these exercises, I use a REST API to return JSON data.
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Exercises in time series including a project modeling temperatures in Greenland.
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